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AAAI
2006
15 years 6 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
127
Voted
IJON
2007
99views more  IJON 2007»
15 years 4 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
IJON
2002
154views more  IJON 2002»
15 years 4 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
120
Voted
CORR
2010
Springer
72views Education» more  CORR 2010»
15 years 4 months ago
Minimizing weighted sum delay for one-to-many file transfer in peer-to-peer networks
Abstract-- This paper considers the problem of transferring a file from one source node to multiple receivers in a peer-to-peer (P2P) network. The objective is to minimize the weig...
Bike Xie, Mihaela van der Schaar, Richard D. Wesel
TASE
2011
IEEE
14 years 11 months ago
Dynamic Pricing and Inventory Control in a Make-to-Stock Queue With Information on the Production Status
: This paper addresses the dynamic pricing problem of a single-item, make-to-stock production system. Demand arrives according to Poisson processes with changeable arrival rate dep...
Liuxin Chen, Youhua Chen, Zhan Pang