スポンサーリンク
Department of Computer Science, Tokyo Institute of Technology | 論文
- Partial Order Reduction in Symbolic State Space Traversal Using ZBDDs
- SERAPH: semi-supervised metric learning paradigm with hyper sparsity (情報論的学習理論と機械学習)
- On Defining Denotational Semantics for Attribute Grammars
- Analysis and improvement of policy gradient estimation (情報論的学習理論と機械学習)
- Output Divergence Criterion for Active Learning in Collaborative Settings
- UPRISE : Unified Presentation Slide Retrieval by Impression Search Engine(Information Processing Technology for Web Utilization)
- Comparative study of generating referring expressions in situated dialogues
- Autonomous L3 Cache Technolgy for High Responsiveness
- Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
- Squared-loss Mutual Information Regularization
- A video watermarking method to objects robust against various attacks
- Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifier
- 249 Spatially bridging paleobotany and paleoanthropology : GIS-based data integration for the project "Replacement of Neanderthals by Modern Humans"
- Feature Selection via l_1-Penalized Squared-Loss Mutual Information
- Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression (情報論的学習理論と機械学習)
- A video watermarking method to objects robust against various attacks
- A video watermarking method to objects robust against various attacks
- Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering (情報論的学習理論と機械学習)
- Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier (情報論的学習理論と機械学習)
- Clustering Unclustered Data : Unsupervised Binary Labeling of Two Datasets Having Different Class Balances