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JMLR
2002
111views more  JMLR 2002»
15 years 6 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
BMCBI
2010
141views more  BMCBI 2010»
15 years 6 months ago
BioPhysConnectoR: Connecting Sequence Information and Biophysical Models
Background: One of the most challenging aspects of biomolecular systems is the understanding of the coevolution in and among the molecule(s). A complete, theoretical picture of th...
Franziska Hoffgaard, Philipp Weil, Kay Hamacher
JAIR
2008
113views more  JAIR 2008»
15 years 6 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 6 months ago
Graph Annotations in Modeling Complex Network Topologies
abstract such additional information as network annotations. We introduce a network topology modeling framework that treats annotations as an extended correlation profile of a net...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, A...
IALP
2010
15 years 1 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...