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AAAI
2006
15 years 8 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...
IJON
2007
99views more  IJON 2007»
15 years 6 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 6 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
CORR
2010
Springer
72views Education» more  CORR 2010»
15 years 6 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
15 years 1 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