904 search results - page 131 / 181 » Machine learning for stock selection |
ML
2006
ACM
13 years 8 months ago
2006
ACM
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
COLT
2010
Springer
13 years 6 months ago
2010
Springer
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
ECTEL
2009
Springer
13 years 6 months ago
2009
Springer
This paper focuses on the production of authoring tools that teachers may use to prototype interactive geographical web applications. We present some computational models and a too...
ICDCS
2009
IEEE
14 years 5 months ago
2009
IEEE
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...