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SIGIR
2005
ACM
15 years 3 months ago
A phonotactic-semantic paradigm for automatic spoken document classification
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...
Bin Ma, Haizhou Li
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
15 years 10 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
76
Voted
APIN
2008
102views more  APIN 2008»
14 years 9 months ago
Approximation-based feature selection and application for algae population estimation
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
Qiang Shen, Richard Jensen
80
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
15 years 10 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
IJBRA
2007
97views more  IJBRA 2007»
14 years 9 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...