A concise and self-contained introduction to causal inference, increasingly important in data ...

A concise and self-contained introduction to causal inference, increasingly important in data sci...

This volume covers key topics in modeling and analysis of massive data sets generated from hig...

This book celebrates the work of Vladimir Vapnik, developer of the support vector machine, whi...

Now in its second edition, this handbook collects authoritative contributions on modern methods a...

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the...

Papers from a flagship conference reflect the latest developments in the field, including work in...

Papers from the 2006 flagship meeting on neural computation, with contributions from physic...

The book provides an overview of recent developments in large margin classifiers, examines ...

A comprehensive introduction to Support Vector Machines and related kernel methods.In the 1990s, ...

State-of-the-art research on the perception of dynamic faces, a topic of importance to brain, cog...