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JCP
2007
143views more  JCP 2007»
13 years 7 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
TPDS
2008
163views more  TPDS 2008»
13 years 7 months ago
Managing the Mobility of a Mobile Sensor Network Using Network Dynamics
It has been discussed in the literature that the mobility of a mobile sensor network (MSN) can be used to improve its sensing coverage. How the mobility can efficiently be managed ...
Ke Ma, Yanyong Zhang, Wade Trappe
COR
2007
134views more  COR 2007»
13 years 7 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez
DBKDA
2009
IEEE
88views Database» more  DBKDA 2009»
13 years 11 months ago
Replay the Execution History of Rule-Based Information
Software systems in health care, such as disease and medical-record management, or financial applications, such as customer relationship and portfolio management, have very often...
Essam Mansour, Hagen Höpfner
RECOMB
2008
Springer
14 years 8 months ago
Constructing Treatment Portfolios Using Affinity Propagation
A key problem of interest to biologists and medical researchers is the selection of a subset of queries or treatments that provide maximum utility for a population of targets. For ...
Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vla...