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JCNS
2010
104views more  JCNS 2010»
14 years 9 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
BMCBI
2010
135views more  BMCBI 2010»
14 years 11 months ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
OSDI
2004
ACM
15 years 11 months ago
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...
ATAL
2005
Springer
15 years 4 months ago
Matchmaking multi-party interactions using historical performance data
Matchmaking will be an important component of future agent and agent-like systems, such as the semantic web. Most research on matchmaking has been directed toward sophisticated ma...
David Lambert, David Robertson
MM
1999
ACM
150views Multimedia» more  MM 1999»
15 years 3 months ago
Heuristic approach for generic audio data segmentation and annotation
A real-time audio segmentation and indexing scheme is presented in this paper. Audio recordings are segmented and classified into basic audio types such as silence, speech, music,...
Tong Zhang, C. C. Jay Kuo