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» Improving data mining utility with projective sampling
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments (single-factor or factorial designs), A/B ...
Ron Kohavi, Randal M. Henne, Dan Sommerfield
TVCG
2011
119views more  TVCG 2011»
14 years 4 months ago
Toward High-Quality Gradient Estimation on Regular Lattices
—In this paper, we present two methods for accurate gradient estimation from scalar field data sampled on regular lattices. The first method is based on the multidimensional Tayl...
Zahid Hossain, Usman R. Alim, Torsten Möller
84
Voted
WSDM
2010
ACM
203views Data Mining» more  WSDM 2010»
15 years 7 months ago
Query Reformulation Using Anchor Text
Query reformulation techniques based on query logs have been studied as a method of capturing user intent and improving retrieval effectiveness. The evaluation of these techniques...
Van Dang, Bruce W. Croft
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
14 years 11 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens