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NIPS
2003
15 years 3 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
15 years 3 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
15 years 3 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
15 years 3 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
15 years 3 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