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» Prediction on Spike Data Using Kernel Algorithms
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ICASSP
2011
IEEE
14 years 1 months ago
Estimation of cortical connectivity from E/MEG using nonlinear state-space models
We present the problem of estimating cortical connectivity between different regions of the cortex from scalp electroencephalographic (EEG) or magnetoencephalographic (MEG) data a...
Bing Leung, Patrick Cheung, Barry D. Van Veen
RTSS
2008
IEEE
15 years 4 months ago
Predictable Interrupt Management and Scheduling in the Composite Component-Based System
This paper presents the design of user-level scheduling hierarchies in the Composite component-based system. The motivation for this is centered around the design of a system that...
Gabriel Parmer, Richard West
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 1 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
CIDR
2011
221views Algorithms» more  CIDR 2011»
14 years 1 months ago
Deuteronomy: Transaction Support for Cloud Data
The Deuteronomy system supports efficient and scalable ACID transactions in the cloud by decomposing functions of a database storage engine kernel into: (a) a transactional compon...
Justin J. Levandoski, David B. Lomet, Mohamed F. M...