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103
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NIPS
2000
15 years 2 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
71
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AMC
2005
125views more  AMC 2005»
15 years 20 days ago
Wavelet multilayer Taylor Galerkin schemes for hyperbolic and parabolic problems
In this study wavelet based high-order Taylor Galerkin methods is introduced. Additional time layers are used to obtain high-order temporal accuracy unattainable within a two-step...
B. V. Rathish Kumar, Mani Mehra
NAACL
2007
15 years 2 months ago
Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques
We present tutorial dialogue systems in two different domains that demonstrate the use of dialogue management and deep natural language processing techniques. Generation technique...
Myroslava Dzikovska, Charles B. Callaway, Elaine F...
107
Voted
ACSW
2003
15 years 2 months ago
Development of the software infrastructure for a ubiquitous computing environment - the DSTO iRoom
This paper describes the development of a ubiquitous computing environment called the iRoom. Built from a foundation of the MIT Metaglue multi-agent software, a base level of func...
Jason B. Scholz, Mark W. Grigg, Paul Prekop, Mark ...
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
15 years 19 days ago
Non-Clairvoyant Scheduling for Minimizing Mean Slowdown
We consider the problem of scheduling dynamically arriving jobs in a non-clairvoyant setting, that is, when the size of a job in remains unknown until the job finishes execution. ...
Nikhil Bansal, Kedar Dhamdhere, Jochen Könema...