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NIPS
2003
13 years 10 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
FORTE
1997
13 years 10 months ago
Automatic Checking of Aggregation Abstractions Through State Enumeration
c Checking of Aggregation Abstractions Through State Enumeration Seungjoon Park, Member, IEEE, Satyaki Das, and David L. Dill, Member, IEEE —Aggregation abstraction is a way of d...
Seungjoon Park, Satyaki Das, David L. Dill
GRAPHICSINTERFACE
1996
13 years 10 months ago
A Technique for Constructing Developable Surfaces
Paper, sheet metal, and many other materials are approximately unstretchable. The surfaces obtained by bending these materials can be flattened onto a plane without stretching or ...
Meng Sun, Eugene Fiume
NIPS
1994
13 years 10 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
IJCAI
1989
13 years 9 months ago
A Study of Empirical Learning for an Involved Problem
In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...
Larry A. Rendell