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» Heterogeneous reasoning in learning to model
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 9 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
CEEMAS
2005
Springer
15 years 3 months ago
Modelling of Agents' Behavior with Semi-collaborative Meta-agents
Abstract. An autonomous agent may largely benefit from its ability to reconstruct another agent’s reasoning principles from records of past events and general knowledge about th...
Jan Tozicka, Filip Zelezný, Michal Pechouce...
KI
2007
Springer
14 years 9 months ago
Modeling Human-Level Intelligence by Integrated Cognition in a Hybrid Architecture
Various forms of reasoning, the profusion of knowledge, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data input, and the ma...
Kai-Uwe Kühnberger, Tonio Wandmacher, Angela ...
SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
14 years 11 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki
CVPR
2000
IEEE
15 years 11 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona