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149
Voted
ICML
2004
IEEE
16 years 4 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
128
Voted
INFORMATICALT
1998
91views more  INFORMATICALT 1998»
15 years 3 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
146
Voted
IPTPS
2005
Springer
15 years 9 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...
IJCAI
2003
15 years 5 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
123
Voted
NOCS
2007
IEEE
15 years 10 months ago
On Characterizing Performance of the Cell Broadband Engine Element Interconnect Bus
Abstract – With the rise of multicore computing, the design of onchip networks (or networks on chip) has become an increasingly important component of computer architecture. The ...
Thomas William Ainsworth, Timothy Mark Pinkston