Alessandro Toigo
Statistical Learning Theory · 2006–2012
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistical Learning Theory — 26 citations into it; #600 of 1,038 by trust here, #619 by citations
- Artificial Intelligence — 18 citations into it
- Applied Mathematics — 11 citations into it; #1,951 of 7,620 by trust here, #1,207 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Mathematical Physics — 11 citations into it; #3,230 of 8,562 by trust here, #2,387 by citations
- Computational Theory and Mathematics — 10 citations into it; #8,369 of 12,182 by trust here, #5,239 by citations
- Computational Mechanics — 9 citations into it; #6,628 of 10,001 by trust here, #4,178 by citations
- Statistics and Probability — 8 citations into it
Whom Alessandro Toigo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ingo Steinwart
- Andrea Caponnetto
- Felipe Cucker
- Steve Smale
- Charles A. Micchelli
- Laurent Schwartz
- Ernesto De Vito
- Ding-Xuan Zhou
- Iosif Pinelis
- Barry Simon
Who trusts Alessandro Toigo overall
- Lorenzo Rosasco
- Bharath K. Sriperumbudur
- Luca Baldassarre
- Hachem Kadri
- Carlo Ciliberto
- Ernesto De Vito
- Zhenyu Guo
- Kenji Fukumizu
- Krikamol Muandet
- Jiaxin Shi
Papers from Alessandro Toigo's perspective
Ordered by how strongly the researchers Alessandro Toigo trusts endorse each paper. Same corpus, a different order for every researcher.
- A Probabilistic Theory of Pattern Recognition
- Theory of Reproducing Kernels.
- Regularization Networks and Support Vector Machines
- The Elements of Statistical Learning
- Statistical Learning Theory
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem
- Nonlinear dimensionality reduction by locally linear embedding.
- Optimal Rates for the Regularized Least-Squares Algorithm
- A global geometric framework for nonlinear dimensionality reduction.
- On the Influence of the Kernel on the Consistency of Support Vector Machines
Their papers
- Vector valued reproducing kernel Hilbert spaces and universality (2008) — 236 citations
- Learning Sets with Separating Kernels (2012) — 57 citations
- VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES OF INTEGRABLE FUNCTIONS AND MERCER THEOREM (2006) — 274 citations