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» Statistical Timing Analysis Using Bounds
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NECO
2007
150views more  NECO 2007»
13 years 9 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
NIPS
2003
13 years 11 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
AIME
1997
Springer
14 years 2 months ago
A Task-Specific Ontology for the Application and Critiquing of Time-Oriented Clinical Guidelines
: Clinical guidelines reuse existing clinical procedural knowledge while leaving room for flexibility by the care provider applying that knowledge. Guidelines can be viewed as gene...
Yuval Shahar, Silvia Miksch, Peter Johnson
IJVR
2006
199views more  IJVR 2006»
13 years 10 months ago
Interactive Virtual Humans in Real-Time Virtual Environments
In this paper, we will present an overview of existing research in the vast area of IVH systems. We will also present our ongoing work on improving the expressive capabilities of I...
Nadia Magnenat-Thalmann, Arjan Egges
ISNN
2007
Springer
14 years 4 months ago
Online Dynamic Value System for Machine Learning
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...
Haibo He, Janusz A. Starzyk