701 search results - page 87 / 141 » Self Bounding Learning Algorithms |
NIPS
2001
13 years 9 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
ICANNGA
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
COLT
1992
Springer
13 years 11 months ago
1992
Springer
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
NIPS
2007
13 years 9 months ago
2007
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...