273 search results - page 23 / 55 » Learning the Structure of Deep Sparse Graphical Models |
127
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JMLR
2011
14 years 8 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
109
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
UAI
1998
15 years 3 months ago
1998
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
WEBI
2004
Springer
15 years 7 months ago
2004
Springer
In order to achieve optimal efficiency in a learning process, individual learner needs his/her own personalized assistance. For a web-based open and dynamic learning environment, ...
117
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ICRA
2008
IEEE
15 years 8 months ago
2008
IEEE
Abstract— We present and examine a technique for estimating the ego-motion of a mobile robot using memory-based learning and a monocular camera. Unlike other approaches that rely...