Kazuhiko Ogimoto
Artificial Intelligence · 2012–2014
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Kazuhiko Ogimoto trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin (in Computer Vision and Pattern Recognition)
- Vladimir Naumovich Vapni (in Artificial Intelligence)
Papers from Kazuhiko Ogimoto's perspective
Ordered by how strongly the researchers Kazuhiko Ogimoto trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- Predicting Time Series with Support Vector Machines
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- Artificial intelligence techniques for photovoltaic applications: A review
- A training algorithm for optimal margin classifiers
- Regression Shrinkage and Selection via the Lasso
- Support-Vector Networks
- Statistical learning theory
- Large Margin Methods for Structured and Interdependent Output Variables
- On Spectral Clustering: Analysis and an algorithm
Their papers
- Regional forecasts and smoothing effect of photovoltaic power generation in Japan: An approach with principal component analysis (2014) — 60 citations
- Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan (2012) — 152 citations