557 search results - page 49 / 112 » Learning programs from noisy data |
87
Voted
EUROGP
2000
Springer
15 years 6 months ago
2000
Springer
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
133
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NIPS
2007
15 years 4 months ago
2007
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
102
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
170
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ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
117
Voted
UM
2007
Springer
15 years 8 months ago
2007
Springer
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...