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» Helping a CBR Program Know What It Knows
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ALT
2011
Springer
12 years 7 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
DIS
2009
Springer
14 years 2 months ago
A Dialectic Approach to Problem-Solving
We analyze the dynamics of problem-solving in a framework which captures two key features of that activity. The first feature is that problem-solving is a social game where a numb...
Éric Martin, Jean Sallantin
AGENTS
2001
Springer
14 years 6 days ago
The intelligent classroom: providing competent assistance
In the software industry, designers are forever trying to “improve” their products by adding ever more features to them, producing bloated software systems that are capable of...
David Franklin, Kristian J. Hammond
CLEF
2008
Springer
13 years 9 months ago
A Study of Users' Image Seeking Behaviour in FlickLing
This study aims to explore users' image seeking behaviour when searching for a known, non-annotated image in Flickling provided by iCLEF2008 track. The task assigned to users...
Evgenia Vassilakaki, Frances C. Johnson, Richard J...
OSDI
2006
ACM
14 years 8 months ago
From Uncertainty to Belief: Inferring the Specification Within
Automatic tools for finding software errors require a set of specifications before they can check code: if they do not know what to check, they cannot find bugs. This paper presen...
Ted Kremenek, Paul Twohey, Godmar Back, Andrew Y. ...