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» Machine Learning Approaches for Inducing Student Models
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ML
2000
ACM
13 years 8 months ago
Multistrategy Discovery and Detection of Novice Programmer Errors
Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the ...
Raymund Sison, Masayuki Numao, Masamichi Shimura
VEE
2012
ACM
322views Virtualization» more  VEE 2012»
12 years 4 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
COLING
2010
13 years 3 months ago
YanFa: An Online Automatic Scoring and Intelligent Feedback System of Student English-Chinese Translation
Online learning calls for instant assessment and feedback. YanFa is a system developed to score online EnglishChinese translation exercises with intelligent feedback for Chinese n...
Yan Tian
WSC
2000
13 years 10 months ago
Teaching simulation using case studies
We have developed and implemented a case-based approach for introducing discrete event simulation to undergraduate and graduate manufacturing engineering students. Students learn ...
Charles R. Standridge
ICIP
2010
IEEE
13 years 6 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...