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SARA
2005
Springer
15 years 5 months ago
Learning Regular Expressions from Noisy Sequences
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
Ugo Galassi, Attilio Giordana
KBSE
2005
IEEE
15 years 5 months ago
Learning to verify branching time properties
We present a new model checking algorithm for verifying computation tree logic (CTL) properties. Our technique is based on using language inference to learn the fixpoints necessar...
Abhay Vardhan, Mahesh Viswanathan
APIN
2004
116views more  APIN 2004»
14 years 11 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
EOR
2008
140views more  EOR 2008»
14 years 11 months ago
Combining two pheromone structures for solving the car sequencing problem with Ant Colony Optimization
The car sequencing problem involves scheduling cars along an assembly line while satisfying capacity constraints. In this paper, we describe an Ant Colony Optimization (ACO) algor...
Christine Solnon
DCC
2006
IEEE
15 years 11 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley