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PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
13 years 11 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 6 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 9 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
TREC
2000
13 years 8 months ago
Syntactic Clues and Lexical Resources in Question-Answering
CL Research's question-answering system (DIMAP-QA) for TREC-9 significantly extends its semantic relation triple (logical form) technology in which documents are fully parsed...
Kenneth C. Litkowski
JNW
2008
173views more  JNW 2008»
13 years 7 months ago
Dominating Set Theory based Semantic Overlay Networks for Efficient and Resilient Content Distribution
Recently overlay networks have emerged as an efficient and flexible method for content distribution. An overlay network is a network running on top of another network, usually the ...
J. Amutharaj, S. Radhakrishnan