منابع مشابه
bootfs - Bootstrapped feature selection
The usage of the package is illustrated for three classification algorithms: pamr (Prediction analysis for Microarrays, [3], implementation in pamr -Rpackage), rf boruta (Random forests with the Boruta algorithm for feature selection, [2], implementation in Boruta-R-package) and scad (Support Vector Machines with Smoothly Clipped Absolute Deviation feature selection, [4], implementation in the ...
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The development of approximate Bayesian computation (ABC) and synthetic likelihood (SL) techniques has enabled the use of Bayesian inference for models that may be simulated, but for which the likelihood is not available to evaluate pointwise at values of an unknown parameter θ. The main idea in ABC and SL is to, for different values of θ (usually chosen using a Monte Carlo algorithm), build es...
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Efficient exploration in complex environments remains a major challenge for reinforcement learning. We propose bootstrapped DQN, a simple algorithm that explores in a computationally and statistically efficient manner through use of randomized value functions. Unlike dithering strategies such as -greedy exploration, bootstrapped DQN carries out temporally-extended (or deep) exploration; this ca...
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متن کاملBootstrapped learning of novel objects.
Recognition of familiar objects in cluttered backgrounds is a challenging computational problem. Camouflage provides a particularly striking case, where an object is difficult to detect, recognize, and segment even when in "plain view." Current computational approaches combine low-level features with high-level models to recognize objects. But what if the object is unfamiliar? A novel camouflag...
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ژورنال
عنوان ژورنال: Physics of Fluids B: Plasma Physics
سال: 1992
ISSN: 0899-8221
DOI: 10.1063/1.860429