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» Generalization Improvement in Multi-Objective Learning
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106
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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 4 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
92
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ICASSP
2010
IEEE
15 years 23 days ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
89
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DSS
2008
102views more  DSS 2008»
15 years 19 days ago
Diagnosing decision quality
Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information ...
Michael J. Davern, Ravi Mantena, Edward A. Stohr
115
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JMLR
2008
100views more  JMLR 2008»
15 years 16 days ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
MIR
2003
ACM
178views Multimedia» more  MIR 2003»
15 years 5 months ago
A bootstrapping approach to annotating large image collection
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
HuaMin Feng, Tat-Seng Chua