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NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 7 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
JMLR
2010
143views more  JMLR 2010»
13 years 6 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
ESTIMEDIA
2009
Springer
13 years 6 months ago
Optimal stack frame placement and transfer for energy reduction targeting embedded processors with scratch-pad memories
Abstract--Memory accesses are a major cause of energy consumption for embedded systems and the stack is a frequent target for data accesses. This paper presents a fully software te...
Lovic Gauthier, Tohru Ishihara
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 3 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain
CSDA
2008
98views more  CSDA 2008»
13 years 8 months ago
Forecasting binary longitudinal data by a functional PC-ARIMA model
The purpose of this paper is to forecast the time evolution of a binary response variable from an associated continuous time series observed only at discrete time points that usual...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...