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» Scalable, updatable predictive models for sequence data
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SAMOS
2004
Springer
14 years 2 months ago
Scalable Instruction-Level Parallelism.
This paper presents a model for instruction-level distributed computing that allows the implementation of scalable chip multiprocessors. Based on explicit microthreading it serves ...
Chris R. Jesshope
IADIS
2003
13 years 10 months ago
Application of Metadata and Replication Mechanisms in Industrial Databases
Power transformers' failures carry great costs to electric companies since they need resources to recover from them and to perform periodical maintenance. To avoid this probl...
Perfecto Mariño, César A. Sigüe...
UM
2009
Springer
14 years 3 months ago
Predicting Customer Models Using Behavior-Based Features in Shops
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Ke...
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
14 years 2 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen
ICDM
2009
IEEE
259views Data Mining» more  ICDM 2009»
13 years 6 months ago
Topic Modeling for Sequences of Temporal Activities
: Topic Modeling for Sequences of Temporal Activities Zhi-Yong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen HP Laboratories HPL-2010-160 topic modeling, LDA, sequence, temp...
Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-...