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» A Structured Set of Higher-Order Problems
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105
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IWANN
2005
Springer
15 years 8 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
101
Voted
ICALP
1999
Springer
15 years 7 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
100
Voted
ACL
2006
15 years 4 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
128
Voted
IJBRA
2007
97views more  IJBRA 2007»
15 years 2 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...
113
Voted
COLING
2002
15 years 2 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