590 search results - page 78 / 118 » Can We Learn to Beat the Best Stock |
BMCBI
2008
14 years 10 months ago
2008
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
JMLR
2010
14 years 4 months ago
2010
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
ECSCW
2007
14 years 11 months ago
2007
: This paper considers the nature of conflict in relation to the environments within which distributed teams cooperate. Effective conflict management can bring great benefits to di...
CP
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
ATAL
2004
Springer
15 years 3 months ago
2004
Springer
Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS’s). First we review one motivation of PD theory, as the information-theoretic extens...