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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 4 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
ICASSP
2011
IEEE
14 years 8 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 4 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
OSDI
2004
ACM
16 years 4 months ago
ksniffer: Determining the Remote Client Perceived Response Time from Live Packet Streams
As dependence on the World Wide Web continues to grow, so does the need for businesses to have quantitative measures of the client perceived response times of their Web services. ...
David P. Olshefski, Jason Nieh, Erich M. Nahum
HICSS
2003
IEEE
159views Biometrics» more  HICSS 2003»
15 years 9 months ago
Building a Knowledge Sharing Company - Evidence From the Finnish Insurance Industry
This paper crystallises out some key findings of knowledge management practices from a Finnish survey on the insurance industry. 15 Finnish insurance companies of different sizes ...
Gunilla Widén-Wulff, Reima Suomi