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» Learning Bounds for Domain Adaptation
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109
Voted
ICCV
1998
IEEE
16 years 2 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg
93
Voted
ECAI
2008
Springer
15 years 2 months ago
An Efficient Student Model Based on Student Performance and Metadata
This paper describes a new student model technology that combines evidences and knowledge about pedagogical and domain structure. Its structure is generated from the metadata avai...
Arndt Faulhaber, Erica Melis
NAACL
2004
15 years 1 months ago
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
Regina Barzilay, Lillian Lee
ACL
1996
15 years 1 months ago
Fast Parsing Using Pruning and Grammar Specialization
We show how a general grammar may be automatically adapted for fast parsing of utterances from a specific domain by means of constituent pruning and grammar specialization based o...
Manny Rayner, David M. Carter
101
Voted
CORR
2010
Springer
56views Education» more  CORR 2010»
15 years 17 days ago
Theory and Applications of Robust Optimization
In this paper we survey the primary research, both theoretical and applied, in the area of Robust Optimization (RO). Our focus is on the computational attractiveness of RO approac...
Dimitris Bertsimas, David B. Brown, Constantine Ca...