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» Learning nonlinear dynamic models
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BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
15 years 27 days ago
Metastability, criticality and phase transitions in brain and its models
This essay is designed to organize a range of experimental findings and theoretical insights of the past 25 years into a coherent view of the brain’s style of function. The view...
Gerhard Werner
AIED
2007
Springer
15 years 7 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
CVPR
2011
IEEE
14 years 9 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
107
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ICML
2007
IEEE
16 years 1 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
NECO
1998
171views more  NECO 1998»
15 years 13 days 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