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» Intelligent Selection of Language Model Training Data
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TSMC
2010
14 years 10 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 4 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
15 years 9 months ago
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
DBPL
1991
Springer
76views Database» more  DBPL 1991»
15 years 7 months ago
A Functional DBPL Revealing High Level Optimizations
We present a functional DBPL in the style of FP that facilitates the definition of precise semantics and opens up opportunities for far-reaching optimizations. The language is int...
Martin Erwig, Udo W. Lipeck
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 4 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin