Max A. Little
Statistics and Probability · 2007–2013
A researcher in the Science corpus: 6 papers; trusts 24 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 21 citations into it
- Artificial Intelligence — 16 citations into it; #29,651 of 35,345 by trust here, #24,417 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Statistical Learning Theory — 10 citations into it
- Signal Processing — 8 citations into it; #1,736 of 7,572 by trust here, #1,709 by citations
- Physiology — 7 citations into it; #255 of 2,276 by trust here, #977 by citations
- Economics and Econometrics — 6 citations into it
- Information Systems — 6 citations into it
Whom Max A. Little trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul P. G. Boersma
- James Franklin
- Trevor J. Hastie
- Robert Tibshirani
- Holger Kantz
- Charles M. Bishop
- Jerome H. Friedman
- Patrick E. McSharry
- David Ruppert
- Chih-Jen Lin
Who trusts Max A. Little overall
- Athanasios Tsanas
- Resul Das
- Ben D. Fulcher
- Betul Erdogdu Sakar
- Patrick E. McSharry
- Teresa Klatzer
- Lorraine O. Ramig
- Christoph Müssel
- Jindong Wang
- Nick S. Jones
Papers from Max A. Little's perspective
Ordered by how strongly the researchers Max A. Little trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Random Forests
- Addendum: Regularization and variable selection via the elastic net
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- LIBSVM: A library for support vector machines
- The Nature of Statistical Learning Theory
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- A new look at the statistical model identification
- Gradient-based learning applied to document recognition
- An Introduction to Variable and Feature Selection
Their papers
- Highly comparative time-series analysis: the empirical structure of time series and their methods (2013) — 403 citations
- Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease (2012) — 684 citations
- Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity (2011) — 334 citations
- Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests (2009) — 823 citations
- Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease (2008) — 1,134 citations
- Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection (2007) — 894 citations