129 search results - page 4 / 26 » Learning DFA from Simple Examples |
101
Voted
NIPS
1994
15 years 2 months ago
1994
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...
75
Voted
ALT
2002
Springer
15 years 10 months ago
2002
Springer
In this paper, we close the gap between the simple and straight-forward implementations of top-down hill-climbing that can be found in the literature, and the rather complex strate...
125
Voted
ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
108
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PAKDD
2010
ACM
15 years 6 months ago
2010
ACM
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
94
Voted
FOCS
2009
IEEE
15 years 8 months ago
2009
IEEE
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...