Partha Niyogi's Books

The Informational Complexity of Learning

Perspectives on Neural Networks and Generative Grammar

By: Partha Niyogi

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The Informational Complexity of Learning

Perspectives on Neural Networks and Generative Grammar

By: Partha Niyogi

Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar brings together two important but very different learning problems within the same analytical framework. The first concerns the problem of learning functional mappings using neural networks, followed by learning natural language grammars in the principles and parameters tradition of Chomsky. These two learning problems are seemingly very different. Neural networks are real-valued, infinite-dimensional, continuous mappings. On the other hand, grammars are boolean-valued, finite-dimensional, discrete (symbolic) mappings. Furthermore the research communities that work in the two areas almost never overlap. The book's objective is to bridge this gap. It uses the formal techniques developed in statistical learning theory and theoretical computer science over the last decade to analyze both kinds of learning problems. By asking the same question - how much information does it take to learn? - of both problems, it highlights their similarities and differences. Specific results include model selection in neural networks, active learning, language learning and evolutionary models of language change. The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar is a very interdisciplinary work. Anyone interested in the interaction of computer science and cognitive science should enjoy the book. Researchers in artificial intelligence, neural networks, linguistics, theoretical computer science, and statistics will find it particularly relevant.

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Page Count

240

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461554594

ISBN 13

9781461554592

Graph-Based Semi-Supervised Learning

By: Amarnag Lipovetzky,Partha Pratim Magazzeni

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Graph-Based Semi-Supervised Learning

By: Amarnag Lipovetzky,Partha Pratim Magazzeni

While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many applications in speech processing, computer vision, natural language processing, and other areas of Artificial Intelligence. Recognizing this promising and emerging area of research, this synthesis lecture focuses on graph-based SSL algorithms (e.g., label propagation methods). Our hope is that after reading this book, the reader will walk away with the following: (1) an in-depth knowledge of the current state-of-the-art in graph-based SSL algorithms, and the ability to implement them; (2) the ability to decide on the suitability of graph-based SSL methods for a problem; and (3) familiarity with different applications where graph-based SSL methods have been successfully applied. Table of Contents: Introduction / Graph Construction / Learning and Inference / Scalability / Applications / Future Work / Bibliography / Authors' Biographies / Index

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Page Count

111

Publisher

Springer Nature

Published Date

ISBN 10

3031015711

ISBN 13

9783031015717

Lineages of Political Society

Studies in Postcolonial Democracy

By: Partha Chatterjee

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Lineages of Political Society

Studies in Postcolonial Democracy

By: Partha Chatterjee

Partha Chatterjee, a pioneering theorist known for his disciplinary range, builds on his theory of "political society" and reinforces its salience to contemporary political debate. Dexterously incorporating the concerns of South Asian studies, postcolonialism, the social sciences, and the humanities, Chatterjee broadly critiques the past three hundred years of western political theory to ask, Can democracy be brought into being, or even fought for, in the image of Western democracy as it exists today? Using the example of postcolonial societies and their political evolution, particularly communities within India, Chatterjee undermines the certainty of liberal democratic theory in favor of a realist view of its achievements and limitations. Rather than push an alternative theory, Chatterjee works solely within the realm of critique, proving political difference is not always evidence of philosophical and cultural backwardness outside of the West. Resisting all prejudices and preformed judgments, he deploys his trademark, genre-bending, provocative analysis to upend the assumptions of postcolonial studies, comparative history, and the common claims of contemporary politics.

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Page Count

317

Publisher

Columbia University Press

Published Date

ISBN 10

0231527918

ISBN 13

9780231527910

Book's by Partha Niyogi

The Informational Complexity of Learning

The Informational Complexity of Learning

Graph-Based Semi-Supervised Learning

Graph-Based Semi-Supervised Learning

Lineages of Political Society

Lineages of Political Society

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