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» Likelihood Computations Using Value Abstraction
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ICPR
2008
IEEE
16 years 3 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
COLT
2007
Springer
15 years 8 months ago
Learning Large-Alphabet and Analog Circuits with Value Injection Queries
Abstract. We consider the problem of learning an acyclic discrete circuit with n wires, fan-in bounded by k and alphabet size s using value injection queries. For the class of tran...
Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin
IPPS
2010
IEEE
14 years 12 months ago
Adapting to NAT timeout values in P2P overlay networks
Abstract--Nodes within existing P2P networks typically exchange periodic keep-alive messages in order to maintain network connections between neighbours. Keep-alive messages serve ...
Richard Price, Peter Tiño
BIOINFORMATICS
2012
13 years 4 months ago
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models
Summary: The MolClass toolkit and data portal generates computational models from user-defined small molecule datasets based on structural features identified in hit and non-hit m...
Jan Wildenhain, Nicholas FitzGerald, Mike Tyers
PSYCHNOLOGY
2010
116views more  PSYCHNOLOGY 2010»
15 years 10 days ago
Social and Spatial Presence: An Application to Optimize Human-Computer Interaction
This study provides a framework for researchers who study human-computer interaction to develop and evaluate user-centric user-interfaces by applying existing theories about telep...
Karl Horvath, Matthew Lombard