ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We analyze skewing, an approach that has been empirically observed to enable greedy decision tree learners to learn "difficult" Boolean functions, such as parity, in the...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We study an approach for performing concurrent activities in Markov decision processes (MDPs) based on the coarticulation framework. We assume that the agent has multiple degrees ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...