D. C. Patranabis

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Control and Systems Engineering — 5 citations into it

Whom D. C. Patranabis trusts overall

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

1. Vladimir Naumovich Vapni
2. Christopher K. I. Williams
3. John C. Platt
4. Vladimir Naumovich Vapnik

Papers from D. C. Patranabis's perspective

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

1. The Nature of Statistical Learning Theory
2. Estimation of Dependences Based on Empirical Data
3. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods
4. Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
5. Training v-Support Vector Regression: Theory and Algorithms (Neural Computation)
6. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
7. Support Vector Regression Machines
8. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
9. New approaches to support vector ordinal regression (International Conference on Machine Learning)
10. Dimensionality Reduction via Sparse Support Vector Machines

Their papers

• Support Vector Regression (2007) — 158 citations