1034 search results - page 111 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
109
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
96
Voted
COGSCI
2002
15 years 12 days ago
2002
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
87
Voted
PKDD
2000
Springer
15 years 4 months ago
2000
Springer
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
91
Voted
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
104
click to vote
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...