129 search results - page 4 / 26 » Learning DFA from Simple Examples |
75
Voted
NIPS
1994
14 years 10 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...
ALT
2002
Springer
15 years 6 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...
ICML
2001
IEEE
15 years 10 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...
PAKDD
2010
ACM
15 years 2 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...
73
Voted
FOCS
2009
IEEE
15 years 4 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...