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CIT
2004
Springer
14 years 1 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
DAGSTUHL
2006
13 years 11 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
ICANN
2010
Springer
13 years 10 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
ENTCS
2007
114views more  ENTCS 2007»
13 years 9 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
TVLSI
2008
124views more  TVLSI 2008»
13 years 9 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