An Introduction to Neural Information Retrieval

An Introduction to Neural Information Retrieval

Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information ...

Author: Bhaskar Mitra

Publisher: Foundations and Trends (R) in Information Retrieval

ISBN: 1680835327

Category:

Page: 142

View: 641

Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.
Categories:

An Introduction to Neural Information Processing

An Introduction to Neural Information Processing

This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today.

Author: Peiji Liang

Publisher: Springer

ISBN: 9402413413

Category: Medical

Page: 328

View: 625

This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.
Categories: Medical

Advances in Information Retrieval

Advances in Information Retrieval

In: Proceedings of the 25th ACM International on Conference on Information and
Knowledge Management, pp. 55–64. ACM (2016) Harman, D.: Overview ... An
introduction to neural information retrieval. Found. TrendsOR Inf. Retrieval 13(1),
 ...

Author: Joemon M. Jose

Publisher: Springer Nature

ISBN: 9783030454425

Category: Computers

Page: 682

View: 997

This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR – general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials. *Due to the COVID-19 pandemic, this conference was held virtually.
Categories: Computers

Information Retrieval Technology

Information Retrieval Technology

15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong,
China, November 7–9, 2019, ... In: ACM SIGIR Workshop on Neural Information
Retrieval (Neu-IR) (2016) Han, Z., Li, X., Yang, M., Qi, H., Li, S., Zhao, T.: HIT at
TREC 2012 microblog track. ... An introduction to neural information retrieval.
Found.

Author: Fu Lee Wang

Publisher: Springer Nature

ISBN: 9783030428358

Category: Computers

Page: 203

View: 390

This book constitutes the refereed proceedings of the 15th Information Retrieval Technology Conference, AIRS 2019, held in Hong Kong, China, in November 2019.The 14 full papers presented together with 3 short papers were carefully reviewed and selected from 27 submissions. The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and multimedia data.
Categories: Computers

Quantum Like Models for Information Retrieval and Decision Making

Quantum Like Models for Information Retrieval and Decision Making

In Advances in Neural Information Processing Systems (pp. 2177–2185). ...
Neural Computing and Applications. https://doi.org/10.1007/s00521-019-04071-6
Li, Q., Uprety, S., Wang, B., & Song, ... An introduction to neural information
retrieval.

Author: Diederik Aerts

Publisher: Springer Nature

ISBN: 9783030259136

Category: Science

Page: 173

View: 314

Recent years have been characterized by tremendous advances in quantum information and communication, both theoretically and experimentally. In addition, mathematical methods of quantum information and quantum probability have begun spreading to other areas of research, beyond physics. One exciting new possibility involves applying these methods to information science and computer science (without direct relation to the problems of creation of quantum computers). The aim of this Special Volume is to encourage scientists, especially the new generation (master and PhD students), working in computer science and related mathematical fields to explore novel possibilities based on the mathematical formalisms of quantum information and probability. The contributing authors, who hail from various countries, combine extensive quantum methods expertise with real-world experience in application of these methods to computer science. The problems considered chiefly concern quantum information-probability based modeling in the following areas: information foraging; interactive quantum information access; deep convolutional neural networks; decision making; quantum dynamics; open quantum systems; and theory of contextual probability. The book offers young scientists (students, PhD, postdocs) an essential introduction to applying the mathematical apparatus of quantum theory to computer science, information retrieval, and information processes.
Categories: Science

A Guided Tour of Artificial Intelligence Research

A Guided Tour of Artificial Intelligence Research

In: Advances in neural information processing systems, pp 897–904 Lioma C,
Blanco R (2009) Part of speech based term weighting for information retrieval. In:
European conference on information retrieval. Springer, pp412–423 Liu S, Liu F,
 ...

Author: Pierre Marquis

Publisher: Springer Nature

ISBN: 9783030061708

Category: Technology & Engineering

Page: 575

View: 146

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings.
Categories: Technology & Engineering

Visualization for Information Retrieval

Visualization for Information Retrieval

Kohonen. Self-Organizing. Map–An. Artificial. Neural. Network. The human brain
has amazing and powerful capacities for analyzing and generalizing complex
information. It is natural and understandable that human beings attempt to
simulate ...

Author: Jin Zhang

Publisher: Springer Science & Business Media

ISBN: 9783540751489

Category: Computers

Page: 294

View: 267

Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the implementation of an information retrieval visualization system.
Categories: Computers

Neural Information Processing

Neural Information Processing

Contextual Bandits for Context-Based Information Retrieval Djallel Bouneffouf,
Amel Bouzeghoub, and Alda Lopes Gançarski ... 1 Introduction Research at the
intersection of information retrieval (IR) and Multi-Armed Bandit problem (MAB)
has ...

Author: Minho Lee

Publisher: Springer

ISBN: 9783642420429

Category: Computers

Page: 776

View: 273

The three volume set LNCS 8226, LNCS 8227 and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.
Categories: Computers

Introduction to Neural Networks Using Matlab 6 0

Introduction to Neural Networks Using Matlab 6 0

Neural networks are important for their ability to adapt . Neural nets represent
entirely different models from those related to other symbolic systems . The
difference occurs in the way the nets store and retrieve information . The
information in a ...

Author: S. N. Sivanandam

Publisher: Tata McGraw-Hill Education

ISBN: 0070591121

Category: MATLAB.

Page: 656

View: 110

Categories: MATLAB.

Neural Information Processing

Neural Information Processing

However neural networks with back-propagation are liable to trapping at local
minima. ... Neural autoencoder networks · Genetic algorithm · Variable length
chro1 Introduction Neural network researchers had wanted for eras to train deep
multi-layer ... textures [13], collaborative filtering [14], regression [15], object
segmentation [16], natural language processing [8,17] and information retrieval [
18,19].

Author: Derong Liu

Publisher: Springer

ISBN: 9783319700960

Category: Computers

Page: 926

View: 566

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.
Categories: Computers

Neural Information Processing Systems

Neural Information Processing Systems

15260 ABSTRACT Information retrieval in a neural network is viewed as a
procedure in which the network computes a ... INTRODUCTION A connectionist
system is a network of simple neuron-like computing elements which can store
and ...

Author: Dana Z. Anderson

Publisher: Springer Science & Business Media

ISBN: 0883185695

Category: Science

Page: 871

View: 422

Papers comprising this volume were presented at the first IEEE Conference on [title] held in Denver, Co., Nov. 1987. As the limits of the digital computer become apparent, interest in neural networks has intensified. Ninety contributions discuss what neural networks can do, addressing topics that in
Categories: Science

Building the Knowledge Society on the Internet Sharing and Exchanging Knowledge in Networked Environments

Building the Knowledge Society on the Internet  Sharing and Exchanging Knowledge in Networked Environments

In Proceedings of the American Association for Artificial Intelligence Symposium.
Han, J., & Kamber ... Advances in Neural Information Processing Systems (NIPS),
14. Levesque, H.J. ... Introduction to modern information retrieval. New York: ...

Author: Bolisani, Ettore

Publisher: IGI Global

ISBN: 9781599048185

Category: Education

Page: 440

View: 556

"In today's networked societies, a key factor of the social and economic success is the capability to exchange, transfer, and share knowledge. This book provides research on the topic providing a foundation of an emerging and multidisciplinary field"--Provided by publisher.
Categories: Education

Advances in Neural Information Processing Systems 14

Advances in Neural Information Processing Systems 14

1. Introduction. Traditional information retrieval techniques can give poor results
on the Web, with its vast scale and highly variable content quality. Recently,
however, it was found that Web search results can be much improved by using
the ...

Author: Thomas G. Dietterich

Publisher: MIT Press

ISBN: 026204207X

Category: Information storage and retrieval systems

Page: 1594

View: 940

Categories: Information storage and retrieval systems

Advances in Neural Information Processing Systems 10

Advances in Neural Information Processing Systems 10

Bidirectional. Retrieval. from. Associative. Memory. Friedrich T. Sommer and
Giinther Palm Department of Neural Information Processing University of Ulm,
89069 Ulm, Germany (summer ,palm}Qinf ormatik.nni-ulm.de ...

Author: Michael I. Jordan

Publisher: MIT Press

ISBN: 0262100762

Category: Computers

Page: 1089

View: 973

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.
Categories: Computers

Advances in Neural Information Processing Systems 16

Advances in Neural Information Processing Systems 16

... Jeon Center for Intelligent Information Retrieval Computer Science Department
, University of Massachusetts Amherst { lavrenko ... 1 Introduction Historically ,
librarians have retrieved images by first manually annotating them with keywords
.

Author: Sebastian Thrun

Publisher: MIT Press

ISBN: 0262201526

Category: Mathematics

Page: 1621

View: 501

Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.
Categories: Mathematics

Advances in Neural Information Processing Systems 19

Advances in Neural Information Processing Systems 19

The quality measures used in information retrieval are particularly difficult to
optimize directly, since they depend on the ... Introduction. In many inference
tasks, the cost function1 used to assess the final quality of the system is not the
one used ...

Author: Bernhard Schölkopf

Publisher: MIT Press

ISBN: 9780262195683

Category: Computers

Page: 1643

View: 311

The annual conference on NIPS is the flagship conference on neural computation. It draws top academic researchers from around the world & is considered to be a showcase conference for new developments in network algorithms & architectures. This volume contains all of the papers presented at NIPS 2006.
Categories: Computers

Artificial Neural Networks ICANN 2002

Artificial Neural Networks     ICANN 2002

1 Introduction A practical information retrieval and text mining system has to be
fast, scalable and efficient both in terms of time and space usage. This applies to
index building as well as information retrieval. In this paper we describe a system
 ...

Author: Jose R. Dorronsoro

Publisher: Springer Science & Business Media

ISBN: 9783540440741

Category: Computers

Page: 1384

View: 585

The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28– 30, 2002 at the Escuela T ́ecnica Superior de Inform ́atica of the Universidad Aut ́onoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year’s ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference.
Categories: Computers

Advances in Neural Information Processing Systems 12

Advances in Neural Information Processing Systems 12

Retrieval. and. Categorization. Thomas Hofmann Department of Computer
Science Brown University, Providence, ... 1 Introduction The computer-based
analysis and organization of large document repositories is one of today's great ...

Author: Sara A. Solla

Publisher: MIT Press

ISBN: 0262194503

Category: Computers

Page: 1080

View: 740

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.
Categories: Computers

Advances in Neural Information Processing Systems 17

Advances in Neural Information Processing Systems 17

1 Introduction In many learning problems , the goal is not simply to classify
objects into one of a fixed number of classes ; instead , a ranking of objects is
desired . This is the case , for example , in information retrieval problems , where
one is ...

Author: Lawrence K. Saul

Publisher: MIT Press

ISBN: 0262195348

Category: Medical

Page: 1668

View: 104

The annual Neural Information Processing Systems (NIPS) conference is the flagshipmeeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists,mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary,with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging,vision, speech and signal processing, reinforcement learning and control, emerging technologies, andapplications. Only twenty-five percent of the papers submitted are accepted for presentation atNIPS, so the quality is exceptionally high. This volume contains the papers presented at theDecember, 2004 conference, held in Vancouver.
Categories: Medical

Advances in Neural Information Processing Systems 15

Advances in Neural Information Processing Systems 15

1 Introduction Systems able to filter out unwanted pieces of information are of
crucial importance for several applications . ... This learning protocol with partial
feedback is known as adaptive filtering in the Information Retrieval community (
see ...

Author: Suzanna Becker

Publisher: MIT Press

ISBN: 0262025507

Category: Computers

Page: 1687

View: 926

Proceedings of the 2002 Neural Information Processing Systems Conference. The annual Neural Information Processing (NIPS) meeting is the flagship conference on neural computation. The conference draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists--and the presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and applications. Only about thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2002 conference.
Categories: Computers