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» Formalizing Multi-state Learning Dynamics
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IJCAI
2003
13 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
IJFCS
2006
130views more  IJFCS 2006»
13 years 10 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
IFIP3
1998
151views Education» more  IFIP3 1998»
13 years 11 months ago
Conceptual Workflow Modelling for Remote Courses
Development of a wide spread project intended to teaching Computer Science, integrating a considerable number of students all over a country with big geographical extension and sc...
José Palazzo M. de Oliveira, Mariano Nicola...
QEST
2009
IEEE
14 years 5 months ago
Recent Extensions to Traviando
—Traviando is a trace analyzer and visualizer for simulation traces of discrete event dynamic systems. In this paper, we briefly outline recent extensions of Traviando towards a...
Peter Kemper
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
14 years 10 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen