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» On the Learnability of i*: Experiences from a New Teacher
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DAS
2010
Springer
15 years 3 months ago
Binarization of historical document images using the local maximum and minimum
This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
Bolan Su, Shijian Lu, Chew Lim Tan
CIKM
2008
Springer
15 years 12 days ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
14 years 8 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
59
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CORR
2008
Springer
93views Education» more  CORR 2008»
14 years 10 months ago
The end of Sleeping Beauty's nightmare
The way a rational agent changes her belief in certain proposition/hypotheses in the light of new evidence lies in the heart of Bayesian inference. The basic natural assumption, a...
Berry Groisman
CIKM
2008
Springer
15 years 12 days ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...