1034 search results - page 157 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
100
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ALGORITHMICA
2006
15 years 16 days ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
109
Voted
SIGIR
2006
ACM
15 years 6 months ago
2006
ACM
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
CIKM
2005
Springer
15 years 6 months ago
2005
Springer
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
101
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods such as PBVI, Perseus, and HSVI, which quickly converge to an approximate so...
98
Voted
ML
2008
ACM
15 years 12 days ago
2008
ACM
Most search techniques within ILP require the evaluation of a large number of inconsistent clauses. However, acceptable clauses typically need to be consistent, and are only found ...