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» A new algorithm for gap constrained sequence mining
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ACL
2004
13 years 9 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
BMCBI
2008
244views more  BMCBI 2008»
13 years 7 months ago
RNAalifold: improved consensus structure prediction for RNA alignments
Background: The prediction of a consensus structure for a set of related RNAs is an important first step for subsequent analyses. RNAalifold, which computes the minimum energy str...
Stephan H. F. Bernhart, Ivo L. Hofacker, Sebastian...
JDA
2008
87views more  JDA 2008»
13 years 7 months ago
Lossless filter for multiple repetitions with Hamming distance
Similarity search in texts, notably in biological sequences, has received substantial attention in the last few years. Numerous filtration and indexing techniques have been create...
Pierre Peterlongo, Nadia Pisanti, Fréd&eacu...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 8 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 25 days ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010