1414 search results - page 202 / 283 » Randomness and Universal Machines |
110
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
99
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
118
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
140
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
123
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...