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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
KES
2005
Springer
15 years 10 months ago
Learning-by-Doing Through Metaphorical Simulation
Abstract. After the doubtful success of content-based e-learning systems, simulations are gaining momentum within the e-learning community. Along this line we are working on JV2 M,...
Pedro Pablo Gómez-Martín, Marco Anto...
AGENTS
2000
Springer
15 years 8 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
AAAI
2007
15 years 6 months ago
Two Approaches for Building an Unsupervised Dependency Parser and Their Other Applications
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
Jagadeesh Gorla, Amit Goyal, Rajeev Sangal
ESANN
2007
15 years 5 months ago
Systematicity in sentence processing with a recursive self-organizing neural network
Abstract. As potential candidates for human cognition, connectionist models of sentence processing must learn to behave systematically by generalizing from a small traning set. It ...
Igor Farkas, Matthew W. Crocker