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AAAI
2007
15 years 7 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
168
Voted
EDM
2008
289views Data Mining» more  EDM 2008»
15 years 6 months ago
Developing a Log-based Motivation Measuring Tool
The purpose of this study is to develop a conceptual framework and a tool for measuring motivation of online learners. The study was carried out in three phases, the first of which...
Arnon Hershkovitz, Rafi Nachmias
ACL
2006
15 years 6 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang
ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 4 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
BMCBI
2006
130views more  BMCBI 2006»
15 years 5 months ago
Laboratory Information Management Software for genotyping workflows: applications in high throughput crop genotyping
Background: With the advances in DNA sequencer-based technologies, it has become possible to automate several steps of the genotyping process leading to increased throughput. To e...
B. Jayashree, Praveen T. Reddy, Y. Leeladevi, Jona...