180 search results - page 23 / 36 » Introduction to Statistical Learning Theory |
JMLR
2010
13 years 2 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
SBIA
2004
Springer
14 years 26 days ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
CMG
1996
13 years 8 months ago
1996
Consider yourself faced with learning about a new system. You have lots of measurements available, but you really don't know which measurements affect the values of others. H...