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115
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CIT
2004
Springer
15 years 6 months ago
BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform
Abstract. In this paper we introduce BioPubMiner, a machine learning component-based platform for biomedical information analysis. BioPubMiner employs natural language processing t...
Jae-Hong Eom, Byoung-Tak Zhang
99
Voted
DAGSTUHL
2006
15 years 4 months ago
Decentralization and Mechanism Design for Online Machine Scheduling
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from a new perspective: We assume that the data of ...
Birgit Heydenreich, Rudolf Müller, Marc Uetz
159
Voted
ICANN
2010
Springer
15 years 3 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
117
Voted
ENTCS
2007
114views more  ENTCS 2007»
15 years 2 months ago
A Graph Abstract Machine Describing Event Structure Composition
Abstract Machine Describing Event Structure Composition Claudia Faggian and Mauro Piccolo 1 ,2 ,3 Dipartimento di Matematica Pura e Applicata – PPS Universit´a di Padova – Par...
Claudia Faggian, Mauro Piccolo
104
Voted
TVLSI
2008
124views more  TVLSI 2008»
15 years 2 months ago
A Refinement-Based Compositional Reasoning Framework for Pipelined Machine Verification
Abstract--We present a refinement-based compositional framework for showing that pipelined machines satisfy the same safety and liveness properties as their non-pipelined specifica...
Panagiotis Manolios, Sudarshan K. Srinivasan