94 search results - page 1 / 19 » Bayesian Hypothesis Testing in Machine Learning |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
ICML
2000
IEEE
13 years 8 months ago
2000
IEEE
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
CSB
2005
IEEE
13 years 10 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
JMLR
2012
11 years 6 months ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...