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AAAI
2011
12 years 7 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
AAAI
2012
11 years 10 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
ETT
2000
85views Education» more  ETT 2000»
13 years 7 months ago
Simple On-Line Scheduling Algorithms for All-Optical Broadcast-and-Select Networks
This paper considers all-optical broadcast networks providing a number of slotted WDM channels for packet communications. Each network user is equipped with one tunable transmitter...
Marco Ajmone Marsan, Andrea Bianco, Emilio Leonard...
INFORMATICALT
2002
154views more  INFORMATICALT 2002»
13 years 7 months ago
Adaptive Stable Control of Manipulators with Improved Adaptation Transients by Using On-line Supervision of the Free-Parameters
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
Manuel de la Sen, Ana Almansa
SCHEDULING
2008
97views more  SCHEDULING 2008»
13 years 7 months ago
Effective on-line algorithms for reliable due date quotation and large-scale scheduling
We consider the sequencing of a series of jobs that arrive at a single processor over time. At each job's arrival time, a due date must be quoted for the job, and the job must...
Philip Kaminsky, Zu-Hsu Lee