5.7k citations
- F. Šforza32
- C. P. Marino5 profiles27
- Wayne Hu2 profiles26 · h 83
- A. Golossanov3 profiles25 · h 48
- Donald G. York3 profiles23 · h 17
- M. Giunta3 profiles22 · h 96
- R. G. Wagner7 profiles22
- T. Shears2 profiles22 · h 95
- A. Martin7 profiles19 · h 63
- B. L. Winer7 profiles19
- J. Frieman3 profiles19 · h 130
- T. R. Junk4 profiles19
- Fermi National Accelerator LaboratoryUS248 papers
- Argonne National LaboratoryUS108 papers
- University of California, BerkeleyUS59 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS56 papers
- Centre National de la Recherche ScientifiqueFR47 papers
- Pennsylvania State UniversityUS46 papers
- University of MichiganUS46 papers
- Johns Hopkins UniversityUS44 papers
- Princeton UniversityUS44 papers
- The Ohio State UniversityUS42 papers
- University of California, Santa CruzUS42 papers
- University of Wisconsin–MadisonUS41 papers
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2009★ 2 cited
Lower Bounds for BMRM and Faster Rates for Training SVMs
Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan
Regularized risk minimization with the binary hinge loss and its variants lies at the heart of many machine learning problems. Bundle methods for regularized risk minimization (BMR…
cs.LG2006★ 8 cited
Using state space differential geometry for nonlinear blind source separation
David N. Levin
Given a time series of multicomponent measurements of an evolving stimulus, nonlinear blind source separation (BSS) seeks to find a "source" time series, comprised of statistically…