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» An Introduction to Learning Structured Information
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BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
78
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COLT
2008
Springer
14 years 11 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor
ACL
2008
14 years 11 months ago
Using Structural Information for Identifying Similar Chinese Characters
Chinese characters that are similar in their pronunciations or in their internal structures are useful for computer-assisted language learning and for psycholinguistic studies. Al...
Chao-Lin Liu, Jen-Hsiang Lin
FLAIRS
2001
14 years 11 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...
LREC
2008
112views Education» more  LREC 2008»
14 years 11 months ago
Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages
Producing machine translation (MT) for the many minority languages in the world is a serious challenge. Minority languages typically have few resources for building MT systems. Fo...
Christian Monson, Ariadna Font Llitjós, Vam...