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SIGMOD
2009
ACM
144views Database» more  SIGMOD 2009»
16 years 5 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
Elena Demidova, Irina Oelze, Peter Fankhauser
141
Voted
SIGIR
2005
ACM
15 years 10 months ago
Gravitation-based model for information retrieval
This paper proposes GBM (gravitation-based model), a physical model for information retrieval inspired by Newton’s theory of gravitation. A mapping is built in this model from c...
Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song, We...
164
Voted
JMLR
2006
169views more  JMLR 2006»
15 years 5 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
171
Voted
CIKM
2010
Springer
15 years 3 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
16 years 5 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...