Santosh Kumar

Artificial Intelligence · American Journal of Preventive Medicine · 2011–2018

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Santosh Kumar trusts overall

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

  1. Lawrence R. Rabiner
  2. David M. Blei
  3. Daniel J. Lizotte
  4. Stephen J. Preece

Who trusts Santosh Kumar overall

  1. Sanjeev P. Bhavnani

Papers from Santosh Kumar's perspective

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

  1. A tutorial on hidden Markov models and selected applications in speech recognition
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  4. LIBSVM: A library for support vector machines
  5. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  6. A training algorithm for optimal margin classifiers
  7. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  8. The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. (American Journal of Preventive Medicine)
  9. Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
  10. Activity identification using body-mounted sensors—a review of classification techniques (Physiological Measurement)

Their papers