256
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Book
"Introduction to Neural Networks fpr C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures...
190
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Book
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks
Methods ...
187
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
197
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Book
"Can computers meaningfully process human language? If this is difficult, why? If this is possible, how? This book introduces the reader to the fascinating science of computat...
396
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Publication
We develop a fast method to localize the level set method of Osher and Sethian (1988, Journal of Computational Physics) and address two important issues that are intrinsic to the l...
176
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Lecture Notes
These lecture notes cover several topics such as Topological Space, Metric Space, Convex Sets, Correspondences, Maximum Theorem, KKM Theorem, Existence of Maximal Element, Selectio...
138
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Lecture Notes
These lecture notes cover several topics such as Preliminaries on Modern Economics and Mathematics, Consumer Theory, Production Theory, Choice Under Uncertainty, Game Theory, Theor...
134
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Lecture Notes
These lecture notes cover several topics such as Abstract Preferences and Choices, A Choice Structure Approach to Consumer Demand, A Preference Based Approach to Consumer Demand
P...
163
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Lecture Notes
These lecture notes cover several topics such as Optimization, Technology and profit maximization, Profit maximization and cost minimization, The cost function & duality, Consu...
130
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Lecture Notes
These lecture notes cover several topics such as Consumer Theory Basics, The Traditional Approach To Consumer Theory, Topics in Consumer Theory,
Producer Theory, Choice Under Unce...