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ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 1 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
ACL
2012
13 years 8 months ago
Selective Sharing for Multilingual Dependency Parsing
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
Tahira Naseem, Regina Barzilay, Amir Globerson
WSOM
2009
Springer
16 years 4 days ago
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Kai Labusch, Erhardt Barth, Thomas Martinetz
GLVLSI
2006
IEEE
101views VLSI» more  GLVLSI 2006»
15 years 11 months ago
Measurement and characterization of pattern dependent process variations of interconnect resistance, capacitance and inductance
Process variations have become a serious concern for nanometer technologies. The interconnect and device variations include interand intra-die variations of geometries, as well as...
Xiaoning Qi, Alex Gyure, Yansheng Luo, Sam C. Lo, ...
CLUSTER
2005
IEEE
15 years 11 months ago
Static scheduling of dependent parallel tasks on heterogeneous clusters
This paper addresses the problem of scheduling parallel tasks, represented by a direct acyclic graph (DAG) on heterogeneous clusters. Parallel tasks, also called malleable tasks, ...
Jorge G. Barbosa, C. N. Morais, R. Nobrega, A. P. ...