Shuhei Mano
Artificial Intelligence · 2004–2018
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #21,451 of 35,345 by trust here, #33,294 by citations
- Statistics and Probability — 9 citations into it; #7,879 of 12,932 by trust here, #11,487 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
- Statistical Learning Theory — 6 citations into it
- Computational Biology & Bioinformatics — 5 citations into it
Whom Shuhei Mano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenji Fukumizu
- MARK A. Beaumont
- Alex Smola
- Le Song
- Arthur Gretton
- Paul Marjoram
- Bernhard Schölkopf
- Shai Fine
- Matthew Stephens
- Michael G. B. Blum
Who trusts Shuhei Mano overall
Papers from Shuhei Mano's perspective
Ordered by how strongly the researchers Shuhei Mano trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo without likelihoods
- Markov chain Monte Carlo without likelihoods
- The Elements of Statistical Learning
- Approximate Bayesian computation in population genetics.
- Efficient SVM Training Using Low-Rank Kernel Representations
- Generating samples under a Wright-Fisher neutral model of genetic variation (Bioinform.)
- A Hilbert Space Embedding for Distributions
- Inference in molecular population genetics
- Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (Genetics)
- Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
Their papers
- Kernel approximate Bayesian computation in population genetic inferences (2012) — 61 citations
- Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones (2004) — 348 citations
- KAGRA: 2.5 generation interferometric gravitational wave detector (2018) — 510 citations
- Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA (2013) — 1,403 citations