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ICASSP
2010
IEEE
14 years 9 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
DEBS
2008
ACM
14 years 11 months ago
Speculative out-of-order event processing with software transaction memory
In event stream applications, events flow through a network of components that perform various types of operations, e.g., filtering, aggregation, transformation. When the operatio...
Andrey Brito, Christof Fetzer, Heiko Sturzrehm, Pa...
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
14 years 8 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
DEXA
2003
Springer
147views Database» more  DEXA 2003»
15 years 2 months ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee
CTW
2006
88views more  CTW 2006»
14 years 9 months ago
Using multiple cognitive task analysis methods for supervisory control interface design in high-throughput biological screening
Cognitive task analysis (CTA) approaches are currently needed in many domains to provide explicit guidance on redesigning existing systems. This study used goal-directed task analy...
David B. Kaber, Noa Segall, Rebecca S. Green, K. E...