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ISMIS
2011
Springer
14 years 9 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski
TEC
2008
115views more  TEC 2008»
15 years 6 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
CSR
2011
Springer
14 years 10 months ago
The Complexity of Inversion of Explicit Goldreich's Function by DPLL Algorithms
The Goldreich’s function has n binary inputs and n binary outputs. Every output depends on d inputs and is computed from them by the fixed predicate of arity d. Every Goldreich...
Dmitry Itsykson, Dmitry Sokolov
INFOCOM
2006
IEEE
16 years 17 days ago
Power-Law Tradeoffs Between Optical and Electronic Switching
— Designing a transport network requires finding the most cost-effective combination of electronic and optical switching to support the given demands. This task is not trivial b...
Huan Liu, Benjamin K. Chen, Fouad A. Tobagi
ICRA
2005
IEEE
144views Robotics» more  ICRA 2005»
16 years 3 days ago
Hill-Based Model as a Myoprocessor for a Neural Controlled Powered Exoskeleton Arm - Parameters Optimization
— The exoskeleton robot, serving as an assistive device worn by the human (orthotic), functions as a humanamplifier. Setting the human machine interface (HMI) at the neuro-muscu...
Ettore Cavallaro, Jacob Rosen, Joel C. Perry, Step...