122 search results - page 12 / 25 » Multi-agent learning and the descriptive value of simple mod... |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We present a simple statistical model of molecular function evolution to predict protein function. The model description encodes general knowledge of how molecular function evolve...
NIPS
2007
14 years 11 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
AI
2004
Springer
15 years 2 months ago
2004
Springer
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
110
Voted
BMCBI
2006
14 years 9 months ago
2006
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...