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109
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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 5 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
GIS
2009
ACM
15 years 5 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
99
Voted
WSC
2007
15 years 3 months ago
Classification analysis for simulation of machine breakdowns
Machine failure is often an important factor in throughput of manufacturing systems. To simplify the inputs to the simulation model for complex machining and assembly lines, we ha...
Lanting Lu, Christine S. M. Currie, Russell C. H. ...
96
Voted
MIDDLEWARE
2007
Springer
15 years 7 months ago
XenSocket: A High-Throughput Interdomain Transport for Virtual Machines
This paper presents the design and implementation of XenSocket, a UNIX-domain-socket-like construct for high-throughput interdomain (VM-to-VM) communication on the same system. The...
Xiaolan Zhang, Suzanne McIntosh, Pankaj Rohatgi, J...
122
Voted
EDOC
2005
IEEE
15 years 6 months ago
Semantics of UML 2.0 Activity Diagram for Business Modeling by Means of Virtual Machine
— The paper proposes a more formalized definition of UML 2.0 Activity Diagram semantics. A subset of activity diagram constructs relevant for business process modeling is conside...
Valdis Vitolins, Audris Kalnins