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» Requirement error abstraction and classification: an empiric...
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DSP
2008
13 years 8 months ago
Empirical Bayes linear regression with unknown model order
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Yngve Selén, Erik G. Larsson
JISE
2008
77views more  JISE 2008»
13 years 8 months ago
Formalized Entity Extraction Methodology for Changeable Business Requirements
business requirement in the real world cannot be abstracted correctly into an entity-relationship schema. Once core entities are discovered, we can obtain an Entity-Relationship Di...
Namgyu Kim, Sangwon Lee, Songchun Moon
CHI
2004
ACM
14 years 8 months ago
Automatic support for web user studies with SCONE and TEA
This paper describes the concepts of TEA, a flexible tool that supports user tests by automating repetitive tasks and collecting data of user inputs and actions. TEA was specifica...
Hartmut Obendorf, Harald Weinreich, Torsten Hass
SAB
2010
Springer
212views Optimization» more  SAB 2010»
13 years 6 months ago
A Study of Adaptive Locomotive Behaviors of a Biped Robot: Patterns Generation and Classification
Abstract. Neurobiological studies showed the important role of Centeral Pattern Generators for spinal cord in the control and sensory feedback of animals' locomotion. In this ...
John Nassour, Patrick Henaff, Fathi Ben Ouezdou, G...
ARCS
2009
Springer
14 years 3 months ago
Empirical Performance Models for Java Workloads
Abstract. Java is widely deployed on a variety of processor architectures. Consequently, an understanding of microarchitecture level Java performance is critical to optimize curren...
Pradeep Rao, Kazuaki Murakami