301 search results - page 22 / 61 » Learning to Select a Good Translation |
SASO
2007
IEEE
14 years 4 months ago
2007
IEEE
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
ALGORITHMICA
2006
13 years 9 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
ICDM
2008
IEEE
14 years 4 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
NIPS
2004
13 years 11 months ago
2004
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
JMLR
2010
13 years 4 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...