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» Human dialogue modelling using machine learning
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AGI
2011
14 years 10 months ago
Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network
Human intelligence consists largely of the ability to recognize and exploit structural systematicity in the world, relating our senses simultaneously to each other and to our cogni...
Derek Monner, James A. Reggia
ICIAR
2004
Springer
15 years 12 months ago
Visual Object Recognition Through One-Class Learning
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...
QingHua Wang, Luís Seabra Lopes, David M. J...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
KBSE
2005
IEEE
16 years 2 days ago
Timna: a framework for automatically combining aspect mining analyses
To realize the benefits of Aspect Oriented Programming (AOP), developers must refactor active and legacy code bases into an AOP language. When refactoring, developers first need...
David Shepherd, Jeffrey Palm, Lori L. Pollock, Mar...
CVPR
2004
IEEE
16 years 8 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun