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AAAI
1993
14 years 12 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
AAAI
1997
14 years 12 months ago
Representing Sequences in Description Logics
This paper describes an approach for representing and manipulating sequences in description logics (DLs). The key idea is to represent sequences using sux trees, then represent t...
Haym Hirsh, Daniel Kudenko
SIGIR
2008
ACM
14 years 10 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
ICCV
2005
IEEE
16 years 16 days ago
Feature Hierarchies for Object Classification
The paper describes a method for automatically extracting informative feature hierarchies for object classification, and shows the advantage of the features constructed hierarchic...
Boris Epshtein, Shimon Ullman
IICAI
2007
15 years 1 days ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...