Chandan Kumar Karmakar

Statistics and Probability · 2009–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Chandan Kumar Karmakar trusts overall

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

1. Ron Kohavi
2. J. Platt
3. Yann LeCun
4. B. D. Ripley

Papers from Chandan Kumar Karmakar's perspective

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

1. The Nature of Statistical Learning Theory
2. Pattern Recognition and Neural Networks
3. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
5. Pattern recognition and neural networks
6. Neural Networks: A Comprehensive Foundation
7. Classification and regression trees
8. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
9. Gradient-based learning applied to document recognition
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View (2016) — 874 citations
• Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings (2009) — 351 citations