877 search results - page 125 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
163
Voted
ML
2012
ACM
13 years 11 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...
101
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie feature relevance and selection, the structure of joint probability and classific...
128
Voted
PROMISE
2010
14 years 10 months ago
2010
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
149
Voted
COLING
2008
15 years 5 months ago
2008
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...
136
Voted
DAGM
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...