180 search results - page 24 / 36 » Active Learning for Class Probability Estimation and Ranking |
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
DAGM
2009
Springer
14 years 1 months ago
2009
Springer
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
BIOCOMP
2008
13 years 8 months ago
2008
Computational analyses of protein structure-function relationships have traditionally been based on sequence homology, fold family analysis and 3D motifs/templates. Previous struct...
KDD
2009
ACM
14 years 7 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...