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AI
2001
Springer
15 years 11 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
NSDI
2008
15 years 9 months ago
Exploiting Machine Learning to Subvert Your Spam Filter
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
Blaine Nelson, Marco Barreno, Fuching Jack Chi, An...
ESWS
2008
Springer
15 years 8 months ago
Learning Highly Structured Semantic Repositories from Relational Databases:
Abstract. Relational databases are valuable sources for ontology learning. Methods and tools have been proposed to generate ontologies from such structured input. However, a major ...
Farid Cerbah
CRIWG
2010
15 years 8 months ago
Digital Workbook: A Mobile Learning Environment to Support Collaborative Examinations
It is already known that some collaborative assessment processes can provide students not only the possibility to show how well they have understood knowledge content, but also the...
Iván D. Claros, César A. Collazos, L...
EDM
2010
185views Data Mining» more  EDM 2010»
15 years 8 months ago
Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models
This paper demonstrates the generality of the hidden Markov model approach for exploratory sequence analysis by applying the methodology to study students' learning behaviors ...
Hogyeong Jeong, Gautam Biswas, Julie Johnson, Larr...