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ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 3 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
11 years 10 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
14 years 2 months 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»
14 years 2 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
14 years 1 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. ...