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» What We Have Learned About Fighting Defects
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NIPS
2000
13 years 8 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
ECAL
1999
Springer
13 years 11 months ago
Integrating Unsupervised Learning, Motivation and Action Selection in an A-life Agent
How can we expect an A-life Agent to learn how to perform tasks when it is not told what those tasks are, and it is not provided any indication or feedback as to its performance? ...
Mark Witkowski
ISMB
1993
13 years 8 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
SIGUCCS
2003
ACM
14 years 21 days ago
Being Sam Malone: customer service on a campus where "Everybody Knows Your Name"
Working on a small campus has many advantages: Familiarity with the majority of faculty and staff, in-depth knowledge of how systems interact, adding the personal touch to each in...
Mark Watts

Book
1331views
15 years 6 months ago
Spatial Reasoning: Theory and Practice
"Spatial structures and spatial reasoning are essential to perception and cognition. Much day-to-day practical information is about what happens at certain spatial locations....
M. Aiello