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» Evaluating Adaptive Problem Selection
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94
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WWW
2008
ACM
16 years 3 months ago
SPARQL basic graph pattern optimization using selectivity estimation
In this paper, we formalize the problem of Basic Graph Pattern (BGP) optimization for SPARQL queries and main memory graph implementations of RDF data. We define and analyze the c...
Markus Stocker, Andy Seaborne, Abraham Bernstein, ...
125
Voted
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 3 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
15 years 8 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
110
Voted
ARTMED
2004
109views more  ARTMED 2004»
15 years 2 months ago
Selection of patients for clinical trials: an interactive web-based system
The purpose of a clinical trial is to evaluate a new treatment procedure. When medical researchers conduct a trial, they recruit participants with appropriate health problems and ...
Eugene Fink, Princeton K. Kokku, Savvas Nikiforou,...
119
Voted
CORR
2010
Springer
125views Education» more  CORR 2010»
15 years 2 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray