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» Active Preference Learning with Discrete Choice Data
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KAIS
2007
97views more  KAIS 2007»
13 years 8 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
CPAIOR
2009
Springer
14 years 3 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
COOPIS
1998
IEEE
14 years 25 days ago
Context Mediation on Wall Street
This paper reports on a practical implementation of a context mediator for the fixed income securities industry. We describe industry circumstances and the data and calculation se...
Allen Moulton, Stuart E. Madnick, Michael Siegel
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 4 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
VLDB
1991
ACM
196views Database» more  VLDB 1991»
14 years 2 days ago
Kaleidoscope Data Model for An English-like Query Language
Most database interfaces provide poor guidance on ad hoc query formulation, burdening users to learn, and to recall precisely the query language and the database. Kaleidoscope avo...
Sang Kyun Cha, Gio Wiederhold