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» Recurrence relations and fast algorithms
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2007
Springer
15 years 8 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
15 years 3 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»
15 years 7 months 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»
13 years 4 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
128
Voted
IPPS
2007
IEEE
15 years 8 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