ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...