1772 search results - page 98 / 355 » Classifying Problems into Complexity Classes |
115
Voted
COLT
2006
Springer
15 years 6 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...
165
Voted
CSL
2007
Springer
15 years 8 months ago
2007
Springer
Programs and Abstract Complexity A. Beckmann University of Wales Swansea Swansea, UK Axiom systems are ubiquitous in mathematical logic, one famous and well studied example being ï...
121
Voted
FGR
2004
IEEE
15 years 6 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
148
Voted
AVBPA
2003
Springer
15 years 6 months ago
2003
Springer
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
128
Voted
IJCAI
2001
15 years 4 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...