ICML
2003
IEEE
14 years 10 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 10 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 10 months ago
2003
IEEE
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
ICML
2003
IEEE
14 years 10 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 10 months ago
2003
IEEE
ICML
2003
IEEE
14 years 10 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 10 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 10 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...