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ICML
2007
IEEE
16 years 4 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
122
Voted
ECML
2005
Springer
15 years 9 months ago
Multi-armed Bandit Algorithms and Empirical Evaluation
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...
Joannès Vermorel, Mehryar Mohri
ML
2010
ACM
159views Machine Learning» more  ML 2010»
15 years 2 months ago
Algorithms for optimal dyadic decision trees
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
Don R. Hush, Reid B. Porter
ICML
1997
IEEE
16 years 4 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
154
Voted
ECML
1994
Springer
15 years 7 months ago
Estimating Attributes: Analysis and Extensions of RELIEF
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
Igor Kononenko