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» Learning from Multiple Sources of Inaccurate Data
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143
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MOBICOM
2006
ACM
15 years 9 months ago
Analysis and implications of student contact patterns derived from campus schedules
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Vikram Srinivasan, Mehul Motani, Wei Tsang Ooi
126
Voted
CAISE
2005
Springer
15 years 9 months ago
A Generic Model for Integrated Multi-Channel Information Systems
Abstract. There is an increasing need to provide methods for describing information systems which incorporate the integrated use of multiple channels of interaction. To achieve thi...
Richard Cooper, XianQing Wu
137
Voted
FAST
2010
15 years 5 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
176
Voted
TON
2010
167views more  TON 2010»
14 years 10 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
120
Voted
CORR
2002
Springer
180views Education» more  CORR 2002»
15 years 3 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer