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ISMB
2000
15 years 6 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
NN
2006
Springer
232views Neural Networks» more  NN 2006»
15 years 5 months ago
A probabilistic model of gaze imitation and shared attention
An important component of language acquisition and cognitive learning is gaze imitation. Infants as young as one year of age can follow the gaze of an adult to determine the objec...
Matthew W. Hoffman, David B. Grimes, Aaron P. Shon...
SYNASC
2005
IEEE
92views Algorithms» more  SYNASC 2005»
15 years 10 months ago
P Colonies Working in the Maximally Parallel and in the Sequential Mode
We consider P colonies as introduced in [4] and investigate their computational power when working in the maximally parallel and in the sequential mode. It turns out that there is...
Rudolf Freund, Marion Oswald
AMAST
2006
Springer
15 years 8 months ago
A Compositional Semantics of Plan Revision in Intelligent Agents
This paper revolves around the so-called plan revision rules of the agent programming language 3APL. These rules can be viewed as a generalization of procedures. This generalizatio...
M. Birna van Riemsdijk, John-Jules Ch. Meyer
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ISMIS
2000
Springer
15 years 8 months ago
Evolving Behaviors for Cooperating Agents
A good deal of progress has been made in the past few years in the design and implementation of control programs for autonomous agents. A natural extension of this work is to consi...
Jeffrey K. Bassett, Kenneth A. De Jong