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Elements of Information Theory (2nd ed.). Thomas M. Cover and Joy A. Thomas
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This article is published in Journal of the American Statistical Association.The article was published on 2008-01-01 and is currently open access. It has received 595 citations till now. The article focuses on the topics: Cover (algebra).read more
Citations
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Journal ArticleDOI
Feature Selection Based on Structured Sparsity: A Comprehensive Study
TL;DR: This paper compares the differences and commonalities of these methods based on regression and regularization strategies, but also provides useful guidelines to practitioners working in related fields to guide them how to do feature selection.
Proceedings ArticleDOI
Measuring Information Leakage Using Generalized Gain Functions
TL;DR: G-leakage is introduced, a rich generalization of the min-entropy model of quantitative information flow and bounds between min-capacity, g- capacity, and Shannon capacity are proved, and a deep connection between a strong leakage ordering on two channels is shown, and the Lattice of Information is proposed from deterministic to probabilistic channels.
Journal ArticleDOI
Fragmentation and unpredictability of early-life experience in mental disorders.
Tallie Z. Baram,Elysia Poggi Davis,Elysia Poggi Davis,Andre Obenaus,Andre Obenaus,Curt A. Sandman,Curt A. Sandman,Steven L. Small,Steven L. Small,Ana Solodkin,Ana Solodkin,Hal S. Stern,Hal S. Stern +12 more
TL;DR: This paper found that variability and inconsistency of maternal signals during both gestation and early postnatal human life may influence development of emotional and cognitive functions, including those that underlie later depression and anxiety.
Journal ArticleDOI
Active sequential hypothesis testing
Mohammad Naghshvar,Tara Javidi +1 more
TL;DR: Lower bounds for the optimal total cost are established using results in dynamic programming and the fundamental limits on the maximum achievable information acquisition rate and the optimal reliability are characterized.
Journal ArticleDOI
A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection
Song Li,Peng Wang,Lalit Goel +2 more
TL;DR: A new ensemble forecasting model for short-term load forecasting (STLF) is proposed based on extreme learning machine (ELM) and partial least squares regression is utilized as a combining approach to aggregate the individual forecasts.
References
More filters
Journal ArticleDOI
Feature Selection Based on Structured Sparsity: A Comprehensive Study
TL;DR: This paper compares the differences and commonalities of these methods based on regression and regularization strategies, but also provides useful guidelines to practitioners working in related fields to guide them how to do feature selection.
Proceedings ArticleDOI
Measuring Information Leakage Using Generalized Gain Functions
TL;DR: G-leakage is introduced, a rich generalization of the min-entropy model of quantitative information flow and bounds between min-capacity, g- capacity, and Shannon capacity are proved, and a deep connection between a strong leakage ordering on two channels is shown, and the Lattice of Information is proposed from deterministic to probabilistic channels.
Journal ArticleDOI
Fragmentation and unpredictability of early-life experience in mental disorders.
Tallie Z. Baram,Elysia Poggi Davis,Elysia Poggi Davis,Andre Obenaus,Andre Obenaus,Curt A. Sandman,Curt A. Sandman,Steven L. Small,Steven L. Small,Ana Solodkin,Ana Solodkin,Hal S. Stern,Hal S. Stern +12 more
TL;DR: This paper found that variability and inconsistency of maternal signals during both gestation and early postnatal human life may influence development of emotional and cognitive functions, including those that underlie later depression and anxiety.
Journal ArticleDOI
Active sequential hypothesis testing
Mohammad Naghshvar,Tara Javidi +1 more
TL;DR: Lower bounds for the optimal total cost are established using results in dynamic programming and the fundamental limits on the maximum achievable information acquisition rate and the optimal reliability are characterized.
Journal ArticleDOI
A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection
Song Li,Peng Wang,Lalit Goel +2 more
TL;DR: A new ensemble forecasting model for short-term load forecasting (STLF) is proposed based on extreme learning machine (ELM) and partial least squares regression is utilized as a combining approach to aggregate the individual forecasts.