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ECIR
2011
Springer
12 years 8 months ago
Fractional Similarity: Cross-Lingual Feature Selection for Search
Abstract. Training data as well as supplementary data such as usagebased click behavior may abound in one search market (i.e., a particular region, domain, or language) and be much...
Jagadeesh Jagarlamudi, Paul N. Bennett
CEC
2009
IEEE
14 years 3 days ago
Dispatching rules for production scheduling: A hyper-heuristic landscape analysis
— Hyper-heuristics or “heuristics to chose heuristics” are an emergent search methodology that seeks to automate the process of selecting or combining simpler heuristics in o...
Gabriela Ochoa, José Antonio Vázquez...
KDD
1995
ACM
133views Data Mining» more  KDD 1995»
13 years 9 months ago
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology
In the wrapperapproachto feature subset selection, a searchfor an optimalset of features is madeusingthe induction algorithm as a black box. Theestimated future performanceof the ...
Ron Kohavi, Dan Sommerfield
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
13 years 11 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
SIGIR
2012
ACM
11 years 7 months ago
Time-sensitive query auto-completion
Query auto-completion (QAC) is a common feature in modern search engines. High quality QAC candidates enhance search experience by saving users time that otherwise would be spent ...
Milad Shokouhi, Kira Radinsky