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» Using Machine Learning to Guide Architecture Simulation
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DAC
1997
ACM
14 years 5 days ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
ECTEL
2009
Springer
13 years 5 months ago
Using Third Party Services to Adapt Learning Material: A Case Study with Google Forms
Abstract. Current Learning Management Systems were typically conceived to offer a self-contained "one size fits all" learning environment. Adaptive educational systems ha...
Luis de la Fuente Valentín, Abelardo Pardo,...
ICALT
2007
IEEE
14 years 2 months ago
Impact of Process Goal and Outcome Goal on Learning Performance for Web-based Learners
The purpose of this research is to develop a webbased learning environment where teachers can provide subject content using SCORM Simple Sequence Specification (SSS) mechanism wit...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Feng-Hsie...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 8 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
WSC
1997
13 years 9 months ago
A Performance Monitoring Application for Distributed Interactive Simulations (DIS)
This paper discusses the design, development, and use of a performance monitoring tool for Distributed Interactive Simulations (DIS). A typical DIS environment consists of hundred...
David B. Cavitt, C. Michael Overstreet, Kurt Maly