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SIGIR
2005
ACM
14 years 1 months ago
The maximum entropy method for analyzing retrieval measures
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
LREC
2010
169views Education» more  LREC 2010»
13 years 9 months ago
An Evaluation of Technologies for Knowledge Base Population
Previous content extraction evaluations have neglected to address problems which complicate the incorporation of extracted information into an existing knowledge base. Previous qu...
Paul McNamee, Hoa Trang Dang, Heather Simpson, Pat...
ISMB
1993
13 years 9 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
KBSE
2003
IEEE
14 years 28 days ago
Automatically Inferring Concern Code from Program Investigation Activities
When performing a program evolution task, developers typically spend a significant amount of effort investigating and re-investigating source code. To reduce this effort, we prop...
Martin P. Robillard, Gail C. Murphy
WWW
2005
ACM
14 years 8 months ago
Executing incoherency bounded continuous queries at web data aggregators
Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
Rajeev Gupta, Ashish Puri, Krithi Ramamritham