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PPSN
2010
Springer
13 years 6 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
CN
2007
179views more  CN 2007»
13 years 9 months ago
Protecting host-based intrusion detectors through virtual machines
: Intrusion detection systems continuously watch the activity of a network or computer, looking for attack or intrusion evidences. However, hostbased intrusion detectors are partic...
Marcos Laureano, Carlos Maziero, Edgard Jamhour
ICML
2004
IEEE
14 years 9 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
ECTEL
2010
Springer
13 years 10 months ago
Content, Social, and Metacognitive Statements: An Empirical Study Comparing Human-Human and Human-Computer Tutorial Dialogue
Abstract. We present a study which compares human-human computermediated tutoring with two computer tutoring systems based on the same materials but differing in the type of feedba...
Myroslava Dzikovska, Natalie B. Steinhauser, Johan...
NIPS
1994
13 years 10 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...