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Department of Computer Science, Tokyo Institute of Technology | 論文
- Direct Approximation of Quadratic Mutual Information and Its Application to Dependence-Maximization Clustering
- Squared-loss Mutual Information Regularization
- Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier
- Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering
- Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression