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» A theory of learning from different domains
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CVPR
2010
IEEE
15 years 6 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
CORR
2002
Springer
142views Education» more  CORR 2002»
14 years 9 months ago
Learning Algorithms for Keyphrase Extraction
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases ...
Peter D. Turney
LWA
2007
14 years 11 months ago
Parameter Learning for a Readability Checking Tool
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
Tim vor der Brück, Johannes Leveling
AIEDU
2007
86views more  AIEDU 2007»
14 years 10 months ago
A Study of Feedback Strategies in Foreign Language Classrooms and Tutorials with Implications for Intelligent Computer-Assisted
This paper presents two new corpus-based studies of feedback in the domain of teaching Spanish as a foreign language, concentrating on the type and frequency of different feedback ...
Anita Ferreira, Johanna D. Moore, Chris Mellish
ATAL
2007
Springer
15 years 4 months ago
When price is not enough: combining logical and numerical issues in bilateral negotiation
We present a novel approach to knowledge-based automated oneshot multi-issue bilateral negotiation handling, in a homogeneous setting, both numerical features and non-numerical on...
Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciasc...