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NECO
2007
150views more  NECO 2007»
15 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
EDOC
2008
IEEE
16 years 25 days ago
Achieving Business Process Flexibility with Business Rules
Business processes used in networked business are often large and complex, which makes them difficult to manage and change. In this paper we address this lack of flexibility by pr...
Tim van Eijndhoven, Maria-Eugenia Iacob, Mar&iacut...
ICANN
2005
Springer
15 years 12 months ago
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
Henrik Jacobsson, Tom Ziemke
JAMIA
2011
140views more  JAMIA 2011»
14 years 9 months ago
Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule
Objective Healthcare organizations must de-identify patient records before sharing data. Many organizations rely on the Safe Harbor Standard of the HIPAAPrivacy Rule, which enumer...
Bradley Malin, Kathleen Benitez, Daniel R. Masys
ISNN
2007
Springer
16 years 15 days ago
Pattern-Oriented Agent-Based Modeling for Financial Market Simulation
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while t...
Chi Xu, Zheru Chi