1707 search results - page 68 / 342 » A Boosting Algorithm for Regression |
100
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
122
Voted
ML
2000
ACM
15 years 2 months ago
2000
ACM
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
130
click to vote
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
119
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CP
2007
Springer
15 years 8 months ago
2007
Springer
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
FLAIRS
2008
15 years 4 months ago
2008
Recommendation systems suggest products to users. Collaborative filtering (CF) systems, which base those recommendations on a database of previous ratings by various users and pro...