1256 search results - page 148 / 252 » Learning to Reason |
NIPS
2007
13 years 11 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
NIPS
2003
13 years 11 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
ICDE
2010
IEEE
13 years 10 months ago
2010
IEEE
— Constrained clustering (semi-supervised learning) techniques have attracted more attention in recent years. However, the commonly used constraints are restricted to the instanc...
CCR
2008
13 years 10 months ago
2008
This paper claims that Shadow Technical Program Committee (TPC) should be organized on a regular basis for attractive conferences in the networking domain. It helps ensuring that ...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...