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IJCNN
2008
IEEE
15 years 10 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
ACMACE
2004
ACM
15 years 9 months ago
A synthetic traffic model for Quake3
This paper presents our development of a synthetic traffic model for the interactive online computer game Quake3. The goal is a traffic model that can be used by researchers and I...
Tanja Lang, Philip Branch, Grenville J. Armitage
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 4 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
ACL
2010
15 years 2 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
SIGMETRICS
2011
ACM
237views Hardware» more  SIGMETRICS 2011»
14 years 7 months ago
Analysis of DCTCP: stability, convergence, and fairness
Cloud computing, social networking and information networks (for search, news feeds, etc) are driving interest in the deployment of large data centers. TCP is the dominant Layer 3...
Mohammad Alizadeh, Adel Javanmard, Balaji Prabhaka...