スポンサーリンク
Department of Applied Chemistry, Yamanashi University | 論文
- Conversions of carbonyl compounds via their polymeric sulfonylhydrazones into alkenes, alkanes, and nitriles.
- Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration (情報論的学習理論と機械学習)
- Output Divergence Criterion for Active Learning in Collaborative Settings
- Output Divergence Criterion for Active Learning in Collaborative Settings
- Redox Photochromism of Waterproof Viologen-Matrix Polymer System.
- Syntheses of saccharin and cyclamate derivatives bearing polymerizable vinyl group.
- Photochromism of benzylviologens containing methyl groups on pyridinium rings and embedded in solid poly(N-vinyl-2-pyrrolidone) matrix.
- Mesomorphic phenyl benzoate and 1,3-dioxane derivatives bearing terminal vinyl group.
- Polymer reagents derived from sodium p-styrenesulfonate: N-methyl-N-nitroso-p-styrenesulfonamide and p-styrenesulfinic acid polymers.
- Vinyl Polymers Bearing a Pyrrole Ring. II. 5,10,15,20-Tetraphenylporphyrins with a Substituent-Bearing Vinyl Group at the Pyrrole Residue and Their Zinc Complexes.
- Clustering Unclustered Data : Unsupervised Binary Labeling of Two Datasets Having Different Class Balances
- Direct Approximation of Quadratic Mutual Information and Its Application to Dependence-Maximization Clustering
- Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
- 1,3-Dioxolane bearing perfume and herbicide aldehyde residues.
- Squared-loss Mutual Information Regularization
- Syntheses of polymerizable carbodiimides bearing a terminal vinyl group.
- Redox photochromism of arylviologen crystals.
- 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