14 search results - page 1 / 3 » Bayesian Averaging of Classifiers and the Overfitting Proble... |
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
AI
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
ACCV
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
ML
2000
ACM
13 years 4 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Hand-drawn diagrams present a complex recognition problem. Elements of the diagram are often individually ambiguous, and require context to be interpreted. We present a recognitio...