701 search results - page 17 / 141 » Self Bounding Learning Algorithms |
96
Voted
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
95
Voted
PODS
1999
ACM
15 years 4 months ago
1999
ACM
Query optimizers rely on fast, high-quality estimates of result sizes in order to select between various join plans. Selfjoin sizes of relations provide bounds on the join size of...
101
Voted
GECCO
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
86
Voted
COLT
2000
Springer
15 years 4 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
110
Voted
JMLR
2010
14 years 7 months ago
2010
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...