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» On the monotonization of the training set
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 8 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
ACL
2006
15 years 8 months ago
QuestionBank: Creating a Corpus of Parse-Annotated Questions
This paper describes the development of QuestionBank, a corpus of 4000 parseannotated questions for (i) use in training parsers employed in QA, and (ii) evaluation of question par...
John Judge, Aoife Cahill, Josef van Genabith
NIPS
2000
15 years 8 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
JMLR
2006
140views more  JMLR 2006»
15 years 6 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
PR
2006
113views more  PR 2006»
15 years 6 months ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...