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» A Probabilistic Segmentation Scheme
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ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 4 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 5 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
AAAI
2006
15 years 6 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
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BMCBI
2006
121views more  BMCBI 2006»
15 years 5 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
INFOCOM
2003
IEEE
15 years 10 months ago
Estimation of Congestion Price Using Probabilistic Packet Marking
Abstract— One key component of recent pricing-based congestion control schemes is an algorithm for probabilistically setting the Explicit Congestion Notification bit at routers ...
Micah Adler, Jin-yi Cai, Jonathan K. Shapiro, Dona...