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MANSCI
2006
180views more  MANSCI 2006»
14 years 9 months ago
Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...
Zhiqiang Zheng, Balaji Padmanabhan
EPIA
2003
Springer
15 years 2 months ago
Automatic Selection of Table Areas in Documents for Information Extraction
: information contained in companies’ financial statements is valuable for decision making at various levels. Much of the relevant information in such documents is contained in t...
Ana Costa e Silva, Alípio Jorge, Luí...
ICML
2009
IEEE
15 years 10 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
GECCO
2004
Springer
15 years 3 months ago
How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution
The use of Genetic Algorithms in evolution of mutants and test cases offers new possibilities in addressing some of the main problems of mutation testing. Most specifically the p...
Konstantinos Adamopoulos, Mark Harman, Robert M. H...
EDM
2010
165views Data Mining» more  EDM 2010»
14 years 11 months ago
Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
John C. Stamper, Tiffany Barnes, Marvin J. Croy