منابع مشابه
Learning Multiple Tasks with Boosted Decision Trees
We address the problem of multi-task learning with no label correspondence among tasks. Learning multiple related tasks simultaneously, by exploiting their shared knowledge can improve the predictive performance on every task. We develop the multi-task Adaboost environment with Multi-Task Decision Trees as weak classifiers. We first adapt the well known decision tree learning to the multi-task ...
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متن کاملDecision trees, boosted decision trees, branching programs, neural nets intro
Administrative: • Enrollment should be good now. • Next homework will go out next Wednesday or Friday. • Recap of where we are in course, and interplay between representation, optimization, and generalization; usual story is that as representation power improves, optimization and generalization become more painful. • Many basic latex errors in assignments; please consult lshort for an easy refe...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2016
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/762/1/012036