Yasuhiro Minami
Artificial Intelligence · 2002–2016
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #18,774 of 35,345 by trust here, #21,316 by citations
Whom Yasuhiro Minami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yasuhiro Minami overall
Papers from Yasuhiro Minami's perspective
Ordered by how strongly the researchers Yasuhiro Minami trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum Entropy Inverse Reinforcement Learning
- Apprenticeship learning via inverse reinforcement learning
- Restricted Boltzmann machines for collaborative filtering
- Pharmacokinetics of a novel formulation of ivermectin after administration to goats
- Large Margin Rank Boundaries for Ordinal Regression
- Efficient learning of sparse, distributed, convolutional feature representations for object recognition
- The Anatomy of A.L.I.C.E.
- Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Preference-learning based Inverse Reinforcement Learning for Dialog Control (2012) — 44 citations
- A recognition method with parametric trajectory synthesized using direct relations between static and dynamic feature vector time series (2002) — 14 citations
- Non-Parallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine (2016) — 64 citations