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» Boosting in Probabilistic Neural Networks
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FLAIRS
2006
13 years 10 months ago
A Cognitive Approach for Gateway Relocation in Wireless Sensor Networks
Wireless sensor networks are composed of a number of sensors probing their surroundings and disseminating the collected data to a gateway node for processing. Numerous military an...
Waleed A. Youssef, Mohamed F. Younis
TNN
2010
174views Management» more  TNN 2010»
13 years 3 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
AUSDM
2007
Springer
104views Data Mining» more  AUSDM 2007»
14 years 23 days ago
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
This paper investigates the use of influence from foreign stock markets (intermarket influence) to predict the trading signals, buy, hold and sell, of the of a given stock market....
Chandima Tilakaratne, Musa A. Mammadov, Sidney A. ...
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 8 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu