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» Linear programming with online learning
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AAAI
2006
13 years 9 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
AUTOMATICA
2010
123views more  AUTOMATICA 2010»
13 years 5 months ago
On the computation of linear model predictive control laws
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...
NIPS
2001
13 years 9 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio
ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
HICSS
2008
IEEE
122views Biometrics» more  HICSS 2008»
14 years 2 months ago
Pedagogy and Overview of a Graduate Program in Digital Investigation Management
Although still a relatively new undergraduate course of study at most colleges and universities, specialized degree programs in computer forensics and digital investigations are n...
Gary C. Kessler, Don Haggerty