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CIKM
2006
Springer
15 years 10 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 10 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
ITS
2000
Springer
128views Multimedia» more  ITS 2000»
15 years 10 months ago
Active Learner Modelling
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
RECOMB
2000
Springer
15 years 10 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
ICML
1994
IEEE
15 years 10 months ago
A Conservation Law for Generalization Performance
Conservation of information (COI) popularized by the no free lunch theorem is a great leveler of search algorithms, showing that on average no search outperforms any other. Yet in ...
Cullen Schaffer