To overcome these problems, this paper proposes a hybrid sampling method. The method takes the distributions of the training data into consideration by the information entropy, thus distinguishing the important samples in the undersampling procedure. Meanwhile, since the positive data only extend to ...
In order to address challenges in performing importance sampling in a high dimensional space of random variables, the paper develops a cross-entropy-based adaptive importance sampling technique that employs a von Mises-Fisher mixture as the sampling density model. By small-size pre-samplings, the pr...
(\(X_i^\prime\)is the normalized expression assigned to geneiand\({\Bbb E}\left( {X_i^\prime } \right)\)is the expectation across cells) as the moment estimation ofλi. For the Gamma distribution, the rate parameter could therefore be calculated based on the maximum likelihood ...
Intuitively, our method works by sampling several possible answers to each question and clustering them algorithmically into answers that have similar meanings, which we determine on the basis of whether answers in the same cluster entail each other bidirectionally28. That is, if sentence A entails ...
Currently test codes spend most of time for arithmetic coding and decoding. We implemented the arithmetic coder that operates with the model parameter such as mu and sigma, based onNayuki's work. We really appreciate for her great effort. Note that, however, current the model-based arithmetic ...
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nddis a Python package for Bayesian entropy estimation from discrete data.nddprovides thendd.entropyfunction, a Bayesian replacement for thescipy.stats.entropyfunction from the SciPy library, based on an efficient implementation of theNemenman-Schafee-Bialek (NSB) algorithm. Remarkably, the NSB algori...
Training a Robust Agent via Prioritized Sampling:这里不用maximize average(最大化对population中所有partner的表现的平均值)的原因是智能体可能会学到与最容易合作的partner合作的策略,而放弃了难以合作的partner,因此这里用优先级采样让他更多的与更难合作的partner进行训练,这里采用的是ranked-based方法。 优先级采样...
However, with the current gold standard, which is based on biopsy, there are many risks associated with it such as infection, bleeding and seeding of the needle track with cancer. Seeding is when cancer cells stuck on the biopsy's needle and spread to other areas when the needle touches ...
Since HiCS integrated with a random sampling process, we perform experiment on each dataset 10 times, then pick up the average value of the results. SOD in this experiment is with parameters: SOD.SharedNearestNeighbor = 100; SOD.kNN = 100. For a fair comparison, k in kNN algorit...