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NIPS
2008
15 years 1 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 3 days ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
HPDC
2000
IEEE
15 years 4 months ago
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries
The dQUOB system satis es client need for speci c information from high-volume data streams. The data streams we speak of are the ow of data existing during large-scale visualizat...
Beth Plale, Karsten Schwan
SIGMOD
1998
ACM
121views Database» more  SIGMOD 1998»
15 years 4 months ago
New Sampling-Based Summary Statistics for Improving Approximate Query Answers
In large data recording and warehousing environments, it is often advantageous to provide fast, approximate answers to queries, whenever possible. Before DBMSs providing highly-ac...
Phillip B. Gibbons, Yossi Matias
CCE
2008
14 years 11 months ago
Chemical supply chain network optimization
Chemical supply chain networks provide large opportunities for cost reductions through the redesign of the flow of material from producer to customer. In this paper we present a m...
Jeff Ferrio, John Wassick