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FLAIRS
2004
13 years 8 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
CVPR
2012
IEEE
11 years 9 months ago
Multi-attribute spaces: Calibration for attribute fusion and similarity search
Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval. However, fusing multiple attribute scor...
Walter J. Scheirer, Neeraj Kumar, Peter N. Belhume...
IFL
2005
Springer
207views Formal Methods» more  IFL 2005»
14 years 25 days ago
A Dependently Typed Framework for Static Analysis of Program Execution Costs
Abstract. This paper considers the use of dependent types to capture information about dynamic resource usage in a static type system. Dependent types allow us to give (explicit) p...
Edwin Brady, Kevin Hammond
ISLPED
2005
ACM
86views Hardware» more  ISLPED 2005»
14 years 27 days ago
An evaluation of code and data optimizations in the context of disk power reduction
Disk power management is becoming increasingly important in high-end server and cluster type of environments that execute dataintensive applications. While hardware-only approache...
Mahmut T. Kandemir, Seung Woo Son, Guangyu Chen
ECOI
2010
144views more  ECOI 2010»
13 years 5 months ago
Machine reasoning about anomalous sensor data
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
Matt Calder, Robert A. Morris, Francesco Peri