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IWANN
2005
Springer
14 years 2 months ago
Input and Structure Selection for k-NN Approximator
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
ICALP
1999
Springer
14 years 1 months ago
Online Data Structures in External Memory
The data sets for many of today's computer applications are too large to t within the computer's internal memory and must instead be stored on external storage devices su...
Jeffrey Scott Vitter
ACL
2006
13 years 10 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
IJBRA
2007
97views more  IJBRA 2007»
13 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...
COLING
2002
13 years 8 months ago
Effective Structural Inference for Large XML Documents
This paper investigates methods to automatically infer structural information from large XML documents. Using XML as a reference format, we approach the schema generation problem ...
Jason Sankey, Raymond K. Wong