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» Learning Rules and Their Exceptions
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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
BC
2002
61views more  BC 2002»
14 years 9 months ago
Spike timing dependent synaptic plasticity in biological systems
Association of a presynaptic spike with a postsynaptic spike can lead to changes in synaptic efficacy that are highly dependent on the relative timing of the preand postsynaptic sp...
Patrick D. Roberts, Curtis C. Bell
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
15 years 4 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
MLG
2007
Springer
15 years 3 months ago
Transductive Rademacher Complexities for Learning Over a Graph
Recent investigations [12, 2, 8, 5, 6] and [11, 9] indicate the use of a probabilistic (’learning’) perspective of tasks defined on a single graph, as opposed to the traditio...
Kristiaan Pelckmans, Johan A. K. Suykens