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NIPS
2000
13 years 11 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...
AAAI
1994
13 years 11 months ago
Exploiting Meta-Level information in a Distributed Scheduling System
In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
ISMB
1993
13 years 11 months ago
Minimizing Complexity in Cellular Automata Models of Self-Replication
Understanding self-replication from an information processing perspective is important because, amongother things, it can shed light on molecular mechanismsof biological reproduct...
James A. Reggia, Hui-Hsien Chou, Steven L. Armentr...
IJCAI
1989
13 years 10 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
IJCAI
1989
13 years 10 months ago
Comparing the Conceptual Systems of Experts
The knowledge to be acquired for the development of knowledge based systems is often distributed across a group of experts rather than available for elicitation from a single expe...
Brian R. Gaines, Mildred L. G. Shaw
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