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» A probabilistic framework for relational clustering
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NIPS
2001
15 years 3 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
CORR
2010
Springer
193views Education» more  CORR 2010»
15 years 15 days ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
BMCBI
2008
111views more  BMCBI 2008»
15 years 2 months ago
Probabilistic base calling of Solexa sequencing data
Background: Solexa/Illumina short-read ultra-high throughput DNA sequencing technology produces millions of short tags (up to 36 bases) by parallel sequencing-by-synthesis of DNA ...
Jacques Rougemont, Arnaud Amzallag, Christian Isel...
ICDAR
2009
IEEE
15 years 8 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
15 years 7 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi