1837 search results - page 79 / 368 » Learning From Ambiguous Examples |
150
Voted
KR
2004
Springer
15 years 10 months ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
132
click to vote
IJCV
2000
15 years 4 months ago
2000
In this paper we first overview the main concepts of Statistical Learning Theory, a framework in which learning from examples can be studied in a principled way. We then briefly di...
131
click to vote
ILP
2003
Springer
15 years 9 months ago
2003
Springer
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
126
click to vote
FOCS
2009
IEEE
15 years 11 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...
160
click to vote
JASIS
2000
15 years 4 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...