Motohiro Nakajima

Ubiquitous Computing · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Motohiro Nakajima trusts

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

  1. Chih-Jen Lin (in Evaluation & Benchmarks)
  2. J. Platt (in Statistical Learning Theory)

Papers from Motohiro Nakajima's perspective

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

  1. C4.5: Programs for Machine Learning
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. The WEKA data mining software: an update
  4. Correlation-based Feature Selection for Machine Learning
  5. A training algorithm for optimal margin classifiers
  6. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  7. Detecting stress during real-world driving tasks using physiological sensors (IEEE transactions on intelligent transportation systems (Print))
  8. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  9. LIBSVM: A library for support vector machines
  10. Protection and Damage from Acute and Chronic Stress: Allostasis and Allostatic Overload and Relevance to the Pathophysiology of Psychiatric Disorders (Annals of the New York Academy of Sciences)

Their papers