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NIPS
2004
15 years 8 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
ICML
2006
IEEE
16 years 7 months ago
Efficient lazy elimination for averaged one-dependence estimators
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
Fei Zheng, Geoffrey I. Webb
COSIT
2009
Springer
133views GIS» more  COSIT 2009»
16 years 1 months ago
SeaTouch: A Haptic and Auditory Maritime Environment for Non Visual Cognitive Mapping of Blind Sailors
Abstract. Navigating consists of coordinating egocentric and allocentric spatial frames of reference. Virtual environments have afforded researchers in the spatial community with ...
Mathieu Simonnet, Dan Jacobson, Stephane Vieillede...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
16 years 9 days ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
ICCBR
2005
Springer
16 years 9 days ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings