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BMCBI
2008
141views more  BMCBI 2008»
15 years 2 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
113
Voted
POPL
2000
ACM
15 years 5 months ago
Modular Refinement of Hierarchic Reactive Machines
with existing analysis tools. Modular reasoning principles such as abstraction, compositional refinement, and assume-guarantee reasoning are well understood for architectural hiera...
Rajeev Alur, Radu Grosu
JMLR
2010
165views more  JMLR 2010»
14 years 8 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
105
Voted
CVPR
2006
IEEE
16 years 3 months ago
Context and Hierarchy in a Probabilistic Image Model
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
Ya Jin, Stuart Geman
90
Voted
ICML
2009
IEEE
16 years 2 months ago
Surrogate regret bounds for proper losses
We present tight surrogate regret bounds for the class of proper (i.e., Fisher consistent) losses. The bounds generalise the margin-based bounds due to Bartlett et al. (2006). The...
Mark D. Reid, Robert C. Williamson