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CONNECTION
2006
91views more  CONNECTION 2006»
15 years 6 months ago
From unknown sensors and actuators to actions grounded in sensorimotor perceptions
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani
FGCS
2006
82views more  FGCS 2006»
15 years 6 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
PR
2008
97views more  PR 2008»
15 years 6 months ago
SVD based initialization: A head start for nonnegative matrix factorization
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...
Christos Boutsidis, Efstratios Gallopoulos
TAP
2008
Springer
102views Hardware» more  TAP 2008»
15 years 6 months ago
Functional Testing in the Focal Environment
This article presents the generation and test case execution under the framework Focal. In the programming language Focal, all properties of the program are written within the sour...
Matthieu Carlier, Catherine Dubois
SIAMCO
2000
104views more  SIAMCO 2000»
15 years 6 months ago
Law of the Iterated Logarithm for a Constant-Gain Linear Stochastic Gradient Algorithm
We study almost-sure limiting properties, taken as 0, of the finite horizon sequence of random estimates { 0, 1, 2, . . . , T/ } for the linear stochastic gradient algorithm n+1 ...
J. A. Joslin, A. J. Heunis