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IJON
2008
109views more  IJON 2008»
15 years 6 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
IJAIT
2007
69views more  IJAIT 2007»
15 years 6 months ago
A Psychogenetic Algorithm for Behavioral Sequence Learning
: This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J.Piaget. Specifically, we modeled some elements of cognit...
Vittorio Maniezzo, Matteo Roffilli
PCM
2010
Springer
204views Multimedia» more  PCM 2010»
15 years 5 months ago
Learning Contextual Metrics for Automatic Image Annotation
Abstract. The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previo...
Zuotao Liu, Xiangdong Zhou, Yu Xiang, Yan-Tao Zhen...
COLT
2010
Springer
15 years 4 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
ACL
2009
15 years 4 months ago
Unsupervised Learning of Narrative Schemas and their Participants
We describe an unsupervised system for learning narrative schemas, coherent sequences or sets of events (arrested(POLICE,SUSPECT), convicted( JUDGE, SUSPECT)) whose arguments are ...
Nathanael Chambers, Dan Jurafsky