229 search results - page 18 / 46 » Sample Selection for Statistical Parsing |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
CIKM
1999
Springer
14 years 1 hour ago
1999
Springer
Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing. Recently, it has also been applied to information r...
ICIAR
2005
Springer
14 years 1 months ago
2005
Springer
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
ML
2012
ACM
12 years 3 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...