开课单位--皮埃尔和玛丽·居里大学
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Datum-Wise Classification: A Sequential Approach to Sparsity[数据分类:稀疏性的连续方法]
Ludovic Denoyer(皮埃尔和玛丽·居里大学) We propose a novel classification technique whose aim is to select an appropriate representation for each datapoint, in contrast to the usual approach...
热度:34
Ludovic Denoyer(皮埃尔和玛丽·居里大学) We propose a novel classification technique whose aim is to select an appropriate representation for each datapoint, in contrast to the usual approach...
热度:34
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Sparse Exponential Weighting and Langevin Monte-Carlo[稀疏的指数加权和朗之万的蒙特卡罗]
Alexandre Tsybakov(皮埃尔和玛丽·居里大学) The performance of statistical estimators in several scenarios, such as adaptive nonparametric estimation, aggregation of estimators and estima- tion ...
热度:45
Alexandre Tsybakov(皮埃尔和玛丽·居里大学) The performance of statistical estimators in several scenarios, such as adaptive nonparametric estimation, aggregation of estimators and estima- tion ...
热度:45
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ATT: Analyzing Temporal Dynamics of Topics and Authors in Social Media[为结构化数据标记而加强学习]
Patrick Gallinari(皮埃尔和玛丽·居里大学)
热度:23
Patrick Gallinari(皮埃尔和玛丽·居里大学)
热度:23
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