1325 search results - page 164 / 265 » Algorithm Selection using Reinforcement Learning |
112
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
129
click to vote
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
176
Voted
CIVR
2008
Springer
15 years 4 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
127
click to vote
HIS
2004
15 years 3 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
118
Voted
UAI
1996
15 years 3 months ago
1996
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...