T. Takashima

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 3 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 T. Takashima trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chih-Jen Lin
2. Vladimir Naumovich Vapni

Papers from T. Takashima's perspective

Ordered by how strongly the researchers T. Takashima trusts endorse each paper. Same corpus, a different order for every researcher.

1. LIBSVM: A library for support vector machines
2. Predicting Time Series with Support Vector Machines
3. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
4. Artificial intelligence techniques for photovoltaic applications: A review
5. Gradient-based learning applied to document recognition
6. Regression Shrinkage and Selection via the Lasso
7. A training algorithm for optimal margin classifiers
8. Support-Vector Networks
9. Statistical learning theory
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

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
• Experimental studies of fault location in PV module strings (2009) — 179 citations