2252 search results - page 293 / 451 » A distributed machine learning framework |
141
Voted
COLT
2000
Springer
15 years 4 months ago
2000
Springer
In the present paper, we present the theoretical basis, as well as an empirical validation, of a protocol designed to obtain effective VC dimension estimations in the case of a si...
128
Voted
ALT
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
89
Voted
COLT
2008
Springer
15 years 2 months ago
2008
Springer
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
115
Voted
ML
2008
ACM
15 years 19 days ago
2008
ACM
We address the issue of compiling ML pattern matching to compact and efficient decisions trees. Traditionally, compilation to decision trees is optimized by (1) implementing decis...
105
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JMLR
2002
15 years 10 days ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....