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CORR
2000
Springer
126views Education» more  CORR 2000»
15 years 4 months ago
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
Ion Androutsopoulos, Georgios Paliouras, Vangelis ...
AMAI
1998
Springer
15 years 4 months ago
Generalization and Specialization Strategies for Learning r.e. Languages
Overgeneralization is a major issue in the identification of grammars for formal languages from positive data. Different formulations of generalization and specialization strate...
Sanjay Jain, Arun Sharma
AIEDU
2008
112views more  AIEDU 2008»
15 years 3 months ago
Be Brief, And They Shall Learn: Generating Concise Language Feedback for a Computer Tutor
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
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JCNS
2008
78views more  JCNS 2008»
15 years 3 months ago
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning
There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred...
Naoki Masuda, Shun-ichi Amari
ML
2010
ACM
155views Machine Learning» more  ML 2010»
15 years 3 months ago
On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systems
Current trends demonstrate an increasing use of polymorphism by attackers to disguise their exploits. The ability for malicious code to be easily, and automatically, transformed in...
Yingbo Song, Michael E. Locasto, Angelos Stavrou, ...