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» Text Classification using String Kernels
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ADMA
2005
Springer
134views Data Mining» more  ADMA 2005»
13 years 7 months ago
An LZ78 Based String Kernel
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector Machine classifier, and demonstrate its use for an...
Ming Li, Ronan Sleep
JIPS
2008
130views more  JIPS 2008»
13 years 4 months ago
Inverted Index based Modified Version of KNN for Text Categorization
: This research proposes a new strategy where documents are encoded into string vectors and modified version of KNN to be adaptable to string vectors for text categorization. Tradi...
Taeho Jo
AUSAI
2007
Springer
13 years 9 months ago
Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Len
Abstract. This paper describes and compares the use of methods based on Ngrams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and s...
Kyongho Min, William H. Wilson, Byeong Ho Kang
ICMLA
2008
13 years 6 months ago
Text Classification Using Tree Kernels and Linguistic Information
Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
Teresa Gonçalves, Paulo Quaresma
PR
2006
152views more  PR 2006»
13 years 4 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke