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TKDE
2010
168views more  TKDE 2010»
14 years 10 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
14 years 10 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
ASPDAC
2010
ACM
139views Hardware» more  ASPDAC 2010»
14 years 10 months ago
CrossRouter: a droplet router for cross-referencing digital microfluidic biochips
Digital Microfluidic Biochip (DMFB) has drawn lots of attention today. It offers a promising platform for various kinds of biochemical experiments. DMFB that uses crossreferencing ...
Zigang Xiao, Evangeline F. Y. Young
EMNLP
2010
14 years 9 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...
EMNLP
2010
14 years 9 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...