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We will principally study Adaboost with SVM-based and Decision Tree based component classifiers and Forests of randomized trees.
The study was based on data from a large randomized controlled trial in Canada, which began in the 1980s and involved about 90,000 women.
online algorithms, the random order model, randomized algorithms and Markov chains, linear and submodular maximization subject to independence constraints, LP and SDP relaxations, primal dual algorithms, online primal dual algorithms, sublinear time algorithms, embedding techniques, data stream algorithms, MapReduce algorithms, multiplicative weights algorithms, spectral methods, algorithmic aspects of mechanism design, social networks and information retrieval.