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ICML
2006
IEEE
14 years 10 months ago
Accelerated training of conditional random fields with stochastic gradient methods
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
COCOON
2009
Springer
14 years 1 months ago
Optimal Transitions for Targeted Protein Quantification: Best Conditioned Submatrix Selection
Multiple reaction monitoring (MRM) is a mass spectrometric method to quantify a specified set of proteins. In this paper, we identify a problem at the core of MRM peptide quantific...
Rastislav Srámek, Bernd Fischer, Elias Vica...
ECAI
2006
Springer
14 years 1 months ago
Learning by Automatic Option Discovery from Conditionally Terminating Sequences
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
Sertan Girgin, Faruk Polat, Reda Alhajj
ISSS
2000
IEEE
191views Hardware» more  ISSS 2000»
14 years 1 months ago
Conditional Scheduling for Embedded Systems using Genetic List Scheduling
One important part of a HW/SW codesign system is the scheduler which is needed in order to determine if a given HW/SW partitioning is suitable for a given application. In this pap...
Martin Grajcar
NIPS
2001
13 years 11 months ago
Modeling Temporal Structure in Classical Conditioning
The Temporal Coding Hypothesis of Miller and colleagues [7] suggests that animals integrate related temporal patterns of stimuli into single memory representations. We formalize t...
Aaron C. Courville, David S. Touretzky