Publicacoes - INESC TEC

Publicações

Publicações por LIAAD

1994

Learning by Refining Algorithm Sketches

Autores
Brazdil, P; Jorge, A;

Publicação
ECAI

Abstract

1994

Use of Pyramids in Symbolic Data Analysis

Autores
Brito, P;

Publicação
New Approaches in Classification and Data Analysis - Studies in Classification, Data Analysis, and Knowledge Organization

Abstract

1994

ORDER STRUCTURE OF SYMBOLIC ASSERTION OBJECTS

Autores
BRITO, P;

Publicação
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Abstract
We study assertion objects that constitute a particular class of symbolic objects. Symbolic objects constitute a data analysis driven formalism, which can be compared to propositional calculus, but which is oriented toward the duality intension (characteristic properties) versus extension (set of all individuals verifying a given set of properties). The set of assertion objects is endowed with a partial order and a quasi-order. We focus on the property of completeness, which precisely expresses the duality intension-extension. The order structure of complete assertion objects is studied, using notions of lattice theory and Galois connection, and extending Wille's work to multiple-valued data. Two results are then obtained for particular cases.

FecharLer Abstract

1994

Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning

Autores
Brazdil, P; Gama, J; Henery, B;

Publicação
Machine Learning: ECML-94, European Conference on Machine Learning, Catania, Italy, April 6-8, 1994, Proceedings

Abstract

1994

Building symbolic representations of intuitive real-time skills from performance data

Autores
Michie, D; Camacho, R;

Publicação
Machine Intelligence 13

Abstract

1994

COORDINATE CHANGE EIGENVALUES FOR BIMODAL PERIOD-DOUBLING RENORMALIZATION

Autores
MACKAY, RS; PINTO, AA; VANZEIJTS, JBJ;

Publicação
PHYSICS LETTERS A

Abstract
The coordinate change eigenvalues for the MacKay and van Zeijts period doubling renormalisation operator for bimodal 1D maps are derived. They are found in numerical computations of the spectrum at all the periodic orbits of renormalisation of period up to five.

FecharLer Abstract