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IJCAI
2007
15 years 7 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Volker Nannen, A. E. Eiben
IJCAI
2007
15 years 7 months ago
A Decision-Theoretic Model of Assistance
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In this paper, we ...
Alan Fern, Sriraam Natarajan, Kshitij Judah, Prasa...
NIPS
2007
15 years 7 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
PDPTA
2007
15 years 7 months ago
Two Graph Algorithms On an Associative Computing Model
- The MASC (for Multiple Associative Computing) model is a SIMD model enhanced with associative properties and multiple synchronous instruction streams (IS). A number of algorithms...
Mingxian Jin, Johnnie W. Baker
SEDE
2007
15 years 7 months ago
Case study: A tool centric approach for fault avoidance in microchip designs
— Achieving reliability in fault tolerant systems requires both avoidance and redundancy. This study focuses on avoidance as it pertains to the design of microchips. The lifecycl...
Clemente Izurieta