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» Structure learning of Bayesian networks using constraints
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ATAL
2007
Springer
15 years 6 months ago
Interactions between market barriers and communication networks in marketing systems
We investigate a framework where agents search for satisfying products by using referrals from other agents. Our model of a mechanism for transmitting word-of-mouth and the result...
Ian N. Durbach, Jan H. Hofmeyr
NIPS
2007
15 years 1 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
AAAI
2004
15 years 1 months ago
Identifying Linear Causal Effects
This paper concerns the assessment of linear cause-effect relationships from a combination of observational data and qualitative causal structures. The paper shows how techniques ...
Jin Tian
ESANN
1997
15 years 1 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
ISMIR
2003
Springer
196views Music» more  ISMIR 2003»
15 years 5 months ago
Automatic segmentation, learning and retrieval of melodies using a self-organizing neural network
We introduce a neural network, known as SONNETMAP, capable of automatic segmentation, learning and retrieval of melodies. SONNET-MAP is a synthesis of the SONNET (Self-Organizing ...
S. Harford