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» Evaluating algorithms that learn from data streams
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INFOCOM
2003
IEEE
16 years 24 days ago
Multipoint-to-Point Session Fairness in the Internet
— In the current Internet, many applications start sessions with multiple connections to multiple servers in order to expedite the reception of data. One may argue that such aggr...
Pradnya Karbhari, Ellen W. Zegura, Mostafa H. Amma...
196
Voted
MSV
2007
15 years 9 months ago
Assessment of ARMAX Structure as a Global Model for Self-Refilling Steam Distillation Essential Oil Extraction System
Abstract - In this paper, an essential oil extraction system with self-refilling system is modeled based on inputoutput data collected from a dedicated acquisition system. The ARMA...
Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Yusof...
238
Voted
WSDM
2012
ACM
300views Data Mining» more  WSDM 2012»
14 years 3 months ago
Adding semantics to microblog posts
Microblogs have become an important source of information for the purpose of marketing, intelligence, and reputation management. Streams of microblogs are of great value because o...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
185
Voted
CLUSTER
2009
IEEE
16 years 2 months ago
Oblivious routing schemes in extended generalized Fat Tree networks
—A family of oblivious routing schemes for Fat Trees and their slimmed versions is presented in this work. First, two popular oblivious routing algorithms, which we refer to as S...
Germán Rodríguez, Cyriel Minkenberg,...
198
Voted
ICPR
2008
IEEE
16 years 1 months ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui