103
click to vote
Book
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
130
click to vote
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...
Book
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks
Methods ...
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
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...
102
click to vote
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...
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...
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...
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...
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...