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» The Predictability of Data Values
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BMCBI
2005
113views more  BMCBI 2005»
15 years 21 days ago
Pathway level analysis of gene expression using singular value decomposition
Background: A promising direction in the analysis of gene expression focuses on the changes in expression of specific predefined sets of genes that are known in advance to be rela...
John K. Tomfohr, Jun Lu, Thomas B. Kepler
SIGMETRICS
2004
ACM
15 years 6 months ago
Storage device performance prediction with CART models
d Abstract] Mengzhi Wang, Kinman Au, Anastassia Ailamaki, Anthony Brockwell, Christos Faloutsos, and Gregory R. Ganger Carnegie Mellon University This work explores the applicatio...
Mengzhi Wang, Kinman Au, Anastassia Ailamaki, Anth...
110
Voted
VMCAI
2009
Springer
15 years 7 months ago
Shape-Value Abstraction for Verifying Linearizability
lue Abstraction for Verifying Linearizability Viktor Vafeiadis Microsoft Research, Cambridge, UK This paper presents a novel abstraction for heap-allocated data structures that kee...
Viktor Vafeiadis
103
Voted
COSIT
2009
Springer
165views GIS» more  COSIT 2009»
15 years 7 months ago
To Be and Not To Be: 3-Valued Relations on Graphs
Spatial information requires models which allow us to answer ‘maybe’ to questions asking whether a location lies within a region. At the same time, models must account for data...
John G. Stell
111
Voted
IPMU
2010
Springer
14 years 11 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn