394 search results - page 50 / 79 » A Study of Empirical Learning for an Involved Problem |
106
click to vote
CORR
2011
Springer
14 years 3 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
119
click to vote
MCS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
IPPS
2007
IEEE
15 years 6 months ago
2007
IEEE
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
116
click to vote
KDD
2012
ACM
13 years 2 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...