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Machine Learning
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Machine Learning: A Probabilistic Perspective

Machine Learning: A Probabilistic Perspective


Kevin P. Murphy



--Jan Peters, Darmstadt University of Technology; Max-Planck Institute for Intelligent Systems--John...
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An Elementary Introduction to Statistical Learning Theory

An Elementary Introduction to Statistical Learning Theory


Gilbert Harman, Sanjeev Kulkarni



Zentralblatt MATH, 2012) Promoting the fundamental...
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Natural Language Annotation for Machine Learning: A guide to corpus-building for applications

Natural Language Annotation for Machine Learning: A guide to corpus-building for applications


James Pustejovsky, Amber Stubbs



...
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Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning)


Bastian Leibe, Kristen Grauman



The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applic...
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Machine Learning in Action

Machine Learning in Action


Peter Harrington



...
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Machine Learning for Hackers

Machine Learning for Hackers


Drew Conway, John Myles White



...
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Qualitative Methods for Reasoning under Uncertainty

Qualitative Methods for Reasoning under Uncertainty


Simon Parsons



Simon Parsons is a Associate Professor in the Dep...
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The Logic of Knowledge Bases

The Logic of Knowledge Bases


Gerhard Lakemeyer, Hector J. Levesque



Hector J. Levesque is Professor of Computer Science at the University of Toronto. He is the coauthor...
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Collaborative Networks and Their Breeding Environments: IFIP TC 5 WG 5. 5 Sixth IFIP Working Conference on VIRTUAL ENTERPRISES, 26-28 September 2005, ... in Information and Communication Technology)

Collaborative Networks and Their Breeding Environments: IFIP TC 5 WG 5. 5 Sixth IFIP Working Conference on VIRTUAL ENTERPRISES, 26-28 September 2005, ... in Information and Communication Technology)


Hamideh Afsarmanesh, Luis M. Camarinha-Matos, Angel Ortiz



Progress in collaborative networks continues showing a growing number of manifestations including vi...
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Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition


Daniel Jurafsky, James H. Martin



... ideal for ... linguists who want to learn more about computational modeling and techniques in la...
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Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009, Proceedings (Lecture Notes in Computer ... Vision, Pattern Recognition, and Graphics)

Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009, Proceedings (Lecture Notes in Computer ... Vision, Pattern Recognition, and Graphics)


Fabio Roli, Josef Kittler, Jón Atli Benediktsson



This book constitutes the refereed proceedings of the 8th International Workshop on Multiple Classif...
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Handbook of Natural Language Processing, Second Edition (Chapman & Hall Crc: Machine Learning & Pattern Recognition)

Handbook of Natural Language Processing, Second Edition (Chapman & Hall Crc: Machine Learning & Pattern Recognition)


Nitin Indurkhya, Fred J. Damerau



—Computing Reviews, January 2011 —Mike James, iProgrammer, 2010 ...
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Data Analysis, Machine Learning and Applications

Data Analysis, Machine Learning and Applications


Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker, Christine Preisach



From the reviews: “Data analysis and machine learning are potential research areas at the int...
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Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence)

Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence)


Alex Graves



Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech...
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Metareasoning: Thinking about Thinking

Metareasoning: Thinking about Thinking


Anita Raja, Eric Horvitz, Michael T. Cox



Anita Raja is Associate Professor in the Department of Software and Information Systems at the Unive...
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Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives


Boris Igelnik



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Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications

Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications


Asim Abdel Rahman El Sheikh



Business intelligence is made possible by the existence of Information Technology. Business intellig...
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - EvoBIO 2011

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - EvoBIO 2011


Mario Giacobini, Clara Pizzuti, Marylyn D. Ritchie



This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Da...
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Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics


Sanghamitra Bandyopadhyay, Ujjwal Maulik, Anirban Mukhopadhyay



This is the first book primarily dedicated to clustering using multiobjective genetic algorithms wit...
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Hybrid Learning - ICHL 2011 (Lecture Notes in Computer Science, 6837)

Hybrid Learning - ICHL 2011 (Lecture Notes in Computer Science, 6837)


Joseph Fong, Reggie Kwan, Jeanne Lam, Lam-For Kwok



This book constitutes the refereed proceedings of the 4th International Conference on Hybrid Learning, ICHL 2011, held in Hong Kon...
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A Short Introduction to Preferences: Between AI and Social Choice (Synthesis Lectures on Artificial Intelligence and Machine Learning)

A Short Introduction to Preferences: Between AI and Social Choice (Synthesis Lectures on Artificial Intelligence and Machine Learning)


Francesca Rossi, To Walsh, Kristen Brent Venable



Computational social choice is an expanding field that merges classical topics like economics and voting theory with more modern t...
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Mobility in Process Calculi and Natural Computing

Mobility in Process Calculi and Natural Computing


Gabriel Ciobanu, Bogdan Aman



The design of formal calculi in which fundamental concepts underlying interactive systems can be desc...
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Machine Learning in Medical Imaging (Lecture Notes in Computer Science)

Machine Learning in Medical Imaging (Lecture Notes in Computer Science)


Dinggang Shen, Kenji Suzuki, Fei Wang, Pingkun Yan



This book constitutes the refereed proceedings of the Second International Workshop on Machine Learni...
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Cartesian Genetic Programming (Natural Computing Series)

Cartesian Genetic Programming (Natural Computing Series)


Julian F. Miller



Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic pr...
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Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)

Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)


Mitsuo Gen, Lin Lin, Runwei Cheng



Network models are critical tools in business, management, science and industry. Network Models and O...
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