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» Discovering Classification from Data of Multiple Sources
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AAAI
2010
15 years 3 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
116
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WEBDB
2010
Springer
156views Database» more  WEBDB 2010»
15 years 6 months ago
Redundancy-Driven Web Data Extraction and Integration
A large number of web sites publish pages containing structured information about recognizable concepts, but these data are only partially used by current applications. Although s...
Paolo Papotti, Valter Crescenzi, Paolo Merialdo, M...
RECOMB
2010
Springer
15 years 3 days ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
COMPLIFE
2006
Springer
15 years 5 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...
DAGM
2011
Springer
14 years 1 months ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...