801 search results - page 8 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
156
Voted
TSP
2010
14 years 10 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
141
Voted
NIPS
2001
15 years 5 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
132
Voted
ML
2008
ACM
15 years 3 months ago
2008
ACM
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...
124
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We develop the distance dependent Chinese restaurant process (CRP), a flexible class of distributions over partitions that allows for nonexchangeability. This class can be used to...
119
Voted
ALT
2005
Springer
16 years 19 days ago
2005
Springer
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...