686 search results - page 42 / 138 » Minimax Probability Machine |
COLT
2006
Springer
14 years 2 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
ML
2007
ACM
13 years 9 months ago
2007
ACM
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...