904 search results - page 105 / 181 » Machine learning for stock selection |
CSB
2004
IEEE
14 years 16 days ago
2004
IEEE
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...
ICML
2005
IEEE
2005
IEEE
Active learning for sampling in time-series experiments with application to gene expression analysis
14 years 9 months ago
Many time-series experiments seek to estimate some signal as a continuous function of time. In this paper, we address the sampling problem for such experiments: determining which ...
EVOW
1994
Springer
14 years 27 days ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without “coding tricksâ€...
ML
2006
ACM
13 years 8 months ago
2006
ACM
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...