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BMCBI
2008
141views more  BMCBI 2008»
15 years 4 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 4 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
WWW
2009
ACM
16 years 5 months ago
Adaptive bidding for display advertising
Motivated by the emergence of auction-based marketplaces for display ads such as the Right Media Exchange, we study the design of a bidding agent that implements a display adverti...
Arpita Ghosh, Benjamin I. P. Rubinstein, Sergei Va...
ECML
2005
Springer
15 years 9 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
COLT
2004
Springer
15 years 9 months ago
Inferring Mixtures of Markov Chains
We define the problem of inferring a “mixture of Markov chains” based on observing a stream of interleaved outputs from these chains. We show a sharp characterization of the i...
Tugkan Batu, Sudipto Guha, Sampath Kannan