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» Recurrence relations and fast algorithms
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2007
Springer
14 years 1 months ago
Making Financial Trading by Recurrent Reinforcement Learning
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
Francesco Bertoluzzo, Marco Corazza
ESANN
2003
13 years 8 months ago
On the weight dynamics of recurrent learning
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
Ulf D. Schiller, Jochen J. Steil
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 28 days ago
Stock prediction based on financial correlation
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
SIGMOD
2012
ACM
246views Database» more  SIGMOD 2012»
11 years 9 months ago
Skimmer: rapid scrolling of relational query results
A relational database often yields a large set of tuples as the result of a query. Users browse this result set to find the information they require. If the result set is large, ...
Manish Singh, Arnab Nandi, H. V. Jagadish
IPPS
2007
IEEE
14 years 1 months ago
Recurrent neural networks towards detection of SQL attacks
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
Jaroslaw Skaruz, Franciszek Seredynski