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» Approximate Learning of Dynamic Models
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NECO
1998
171views more  NECO 1998»
15 years 4 months ago
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
three different levels of abstraction: detailed models including ctivity dynamics, weight dynamics that abstract from the neural activity dynamics by an adiabatic approximation, an...
Laurenz Wiskott, Terrence J. Sejnowski
MSOM
2007
118views more  MSOM 2007»
15 years 4 months ago
What Can Be Learned from Classical Inventory Models? A Cross-Industry Exploratory Investigation
: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often co...
Sergey Rumyantsev, Serguei Netessine
GREC
2003
Springer
15 years 10 months ago
User Adaptation for Online Sketchy Shape Recognition
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
Zhengxing Sun, Liu Wenyin, Binbin Peng, Bin Zhang,...
CPHYSICS
2008
161views more  CPHYSICS 2008»
15 years 5 months ago
Implementing peridynamics within a molecular dynamics code
Peridynamics (PD) is a continuum theory that employs a nonlocal model to describe material properties. In this context, nonlocal means that continuum points separated by a finite ...
Michael L. Parks, Richard B. Lehoucq, Steven J. Pl...
UMUAI
1998
157views more  UMUAI 1998»
15 years 4 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...