**Machine Learning**

by Abdelhamid Mellouk, Abdennacer Chebira

**Publisher**: InTech 2009**ISBN-13**: 9789537619561**Number of pages**: 450

**Description**:

Neural machine learning approaches, Hamiltonian neural networks, similarity discriminant analysis, machine learning methods for spoken dialogue simulation and optimization, linear subspace learning for facial expression analysis, 3d shape classification and retrieval, genetic network programming with reinforcement learning, heuristic dynamic programming, and more.

Download or read it online for free here:

**Download link**

(PDF)

## Similar books

**The Elements of Statistical Learning: Data Mining, Inference, and Prediction**

by

**T. Hastie, R. Tibshirani, J. Friedman**-

**Springer**

This book brings together many of the important new ideas in learning, and explains them in a statistical framework. The authors emphasize the methods and their conceptual underpinnings rather than their theoretical properties.

(

**29205**views)

**Modeling Agents with Probabilistic Programs**

by

**Owain Evans, et al.**-

**AgentModels.org**

This book describes and implements models of rational agents for (PO)MDPs and Reinforcement Learning. One motivation is to create richer models of human planning, which capture human biases. The book assumes basic programming experience.

(

**1473**views)

**Learning Deep Architectures for AI**

by

**Yoshua Bengio**-

**Now Publishers**

This book discusses the principles of learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models.

(

**2700**views)

**Statistical Foundations of Machine Learning**

by

**Gianluca Bontempi, Souhaib Ben Taieb**-

**OTexts**

This handbook aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. This manuscript aims to find a good balance between theory and practice.

(

**3928**views)