Sciweavers

FLAIRS
2001
13 years 5 months ago
Graph-Based Concept Learning
We introduce the graph-based relational concept learner SubdueCL. We start with a brief description of other graph-based learning systems: the Galois lattice, Conceptual Graphs, a...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...
FLAIRS
2001
13 years 5 months ago
Goal-Directed Scientific Exploration Using Multiple Rovers
Tara A. Estlin, Rebecca Castaño, Ashley Dav...
FLAIRS
2001
13 years 5 months ago
Multiple Predicate Learning for Document Image Understanding
Documentimageunderstandingdenotesthe recognition of semanticallyrelevant componentsin the layout extracted froma documentimage.This recognitionprocessis based on somevisual models...
Floriana Esposito, Donato Malerba, Francesca A. Li...
FLAIRS
2001
13 years 5 months ago
Integrating Task, Role, and User Modeling in Organizational Memories
In application areas like personal information agents user modelstypically maintain sophisticated representations of personal interest profiles. Theserepresentations can be utiliz...
Ludger van Elst, Andreas Abecker
FLAIRS
2001
13 years 5 months ago
DARE: An Emotion-Based Agent Architecture
Márcia Maçãs, Rodrigo M. M. V...
FLAIRS
2001
13 years 5 months ago
Knowledge Acquisition for Question Answering
Questionscan be classified basedon their degree of difficulty. Asthe level of difficulty increases, question answeringsystemsneedto rely on richer semantic ontoiogies and larger k...
Roxana Girju, Dan I. Moldovan
FLAIRS
2001
13 years 5 months ago
A Holonic Multi-Agent Coordination Server
Andreas Gerber, Christian Ruß
FLAIRS
2001
13 years 5 months ago
Probabilistic Plan Recognition for Hostile Agents
This paper presents a probabilistic and abductive theory of plan recognition that handles agents that are actively hostile to the inference of their plans. This focus violates a p...
Christopher W. Geib, Robert P. Goldman
FLAIRS
2001
13 years 5 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...