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163
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CIARP
2007
Springer
15 years 6 months ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
156
Voted
GFKL
2007
Springer
164views Data Mining» more  GFKL 2007»
15 years 6 months ago
Classification with Invariant Distance Substitution Kernels
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
Bernard Haasdonk, Hans Burkhardt
128
Voted
CIARP
2004
Springer
15 years 6 months ago
New Bounds and Approximations for the Error of Linear Classifiers
In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivar...
Luís G. Rueda
152
Voted
MCS
2000
Springer
15 years 6 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock
134
Voted
FPCA
1995
15 years 6 months ago
Shortcut Deforestation in Calculational Form
In functional programming, intermediate data structures are often used to “glue’) together small programs. Deforestation is a program transformation to remove these intermedia...
Akihiko Takano, Erik Meijer