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» Embedding Heterogeneous Data Using Statistical Models
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GCB
1997
Springer
77views Biometrics» more  GCB 1997»
15 years 4 months ago
Statistics of large scale sequence searching
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
Rainer Spang, Martin Vingron
106
Voted
NAACL
2004
15 years 1 months ago
A Smorgasbord of Features for Statistical Machine Translation
We describe a methodology for rapid experimentation in statistical machine translation which we use to add a large number of features to a baseline system exploiting features from...
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur,...
99
Voted
CBMS
2001
IEEE
15 years 4 months ago
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer
This paper presents a method for optimizing prostate needle biopsy, by creating a statistical atlas of the spatial distribution of prostate cancer from a large patient cohort. In ...
Dinggang Shen, Zhiqiang Lao, Edward Herskovits, Ga...
CORR
1999
Springer
67views Education» more  CORR 1999»
15 years 7 days ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh
167
Voted
EDBT
2009
ACM
302views Database» more  EDBT 2009»
15 years 7 months ago
RankClus: integrating clustering with ranking for heterogeneous information network analysis
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin,...