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SOCO
2002
Springer
15 years 1 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 7 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
134
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ICAC
2008
IEEE
15 years 8 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
WISE
2009
Springer
15 years 11 months ago
Facing Tagging Data Scattering
Web2.0 has brought tagging at the forefront of user practises for organizing and locating resources. Unfortunately, these tagging efforts suffer from a main drawback: lack of inter...
Oscar Díaz, Jon Iturrioz, Cristóbal ...
JMLR
2010
185views more  JMLR 2010»
14 years 8 months ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto