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NIPS
2008
15 years 6 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ALT
1999
Springer
15 years 9 months ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
ALT
2008
Springer
16 years 1 months ago
Learning with Temporary Memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
Steffen Lange, Samuel E. Moelius, Sandra Zilles
ICTAI
2009
IEEE
15 years 11 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
AIED
2011
Springer
14 years 8 months ago
Early Prediction of Cognitive Tool Use in Narrative-Centered Learning Environments
Narrative-centered learning environments introduce novel opportunities for supporting student problem solving and learning. By incorporating cognitive tools into plots and characte...
Lucy R. Shores, Jonathan P. Rowe, James C. Lester