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NIPS
1993
13 years 10 months ago
Analyzing Cross-Connected Networks
The non-linear complexities of neural networks make network solutions difficult to understand. Sanger's contribution analysis is here extended to the analysis of networks aut...
Thomas R. Shultz, Jeffrey L. Elman
GECCO
2010
Springer
151views Optimization» more  GECCO 2010»
14 years 1 months ago
Sustaining behavioral diversity in NEAT
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
Hirotaka Moriguchi, Shinichi Honiden
PAMI
2008
231views more  PAMI 2008»
13 years 8 months ago
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
This paper describes methods for recovering time-varying shape and motion of nonrigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talkin...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
AIED
2011
Springer
13 years 6 days ago
Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification
The Pedagogical Assessment Workflow System (PAWS) is a new workflow-based pedagogical assessment framework that enables the efficient and robust integration of diverse datasets for...
Jun Ma, Jeon-Hyung Kang, Erin Shaw, Jihie Kim
TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
On the weight convergence of Elman networks
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
Qing Song