Principles and Applications of Science of Information
Volume 105, Issue 2 | February 2017
Guest Editors:
Special Issue Papers
Scanning the Issue: Principles and Applications of Science of Information
By T. Courtade, A. Grama, M. Mahoney, and T. Weismann
High-Probability Guarantees in Repeated Games: Theory and Applications in Information Theory
By P. Delgosha, A. Gohari, and M. Akbarpour
This paper fuses ideas from both information theory and game theory to study repeated games with incomplete information in a “high-probability framework.”
Information-Theoretic Approach to Strategic Communication as a Hierarchical Game
By E. Akyol, C. Langbort, and T. Basar
This paper studies information disclosure problems of economics through an information-theoretic lens.
Dynamic Watermarking: Active Defense of Networked Cyber–Physical Systems
By B. Satchidanandan and P. R. Kumar
This paper investigates the problem of secure control of networked cyber–physical systems.
Decision Making With Quantized Priors Leads to Discrimination
By L. R. Varshney and K. Varshney
This paper introduces an information-based model of signal detection motivated by the question of racial discrimination in decision-making scenarios such as police arrests.
An Optimization Approach to Locally-Biased Graph Algorithms
By K. Fountoulakis, D. F. Gleich, and M. W. Mahoney
This paper investigates a class of locally-biased graph algorithms for finding local or small-scale structures in large graphs.
An Information and Control Framework for Optimizing User-Compliant Human–Computer Interfaces
By J. Tantiongloc, D. A. Mesa, R. Ma, S. Kim, C. H. Alzate, J. J. Camacho, V. Manian, and T. P. Coleman
This paper presents a framework for a human–computer interface, which provides a simplified method based on optimal transport theory to generate optimal feedback signals between the computer and human in high dimension.
A Study of the Boltzmann Sequence-Structure Channel
By A. Magner, D. Kihara, and W. Szpankowski
This paper presents a channel that maps sequences from a finite alphabet to self-avoiding walks in a 2-D grid.
Fundamentals of Molecular Information and Communication Science
By O. B. Akan, H. Ramezani, T. Khan, N. A. Abbasi, and M. Kuscu
This paper considers molecular communication (MC) as a communication paradigm for nanonetwork realization.
Doubly Penalized LASSO for Reconstruction of Biological Networks
By B. Asadi, M. R. Maurya, D. M. Tartakovsky, and S. Subramaniam
This paper presents a new method for the reconstruction of dynamic biological networks and presents two case studies.
Addressing the Need for a Model Selection Framework in Systems Biology Using Information Theory
By F. DeVilbiss and D. Ramkrishna
This paper develops the argument that information-theoretic model selection metrics should be extended to nonnested model comparison applications in systems biology.
A Critical Survey of Deconvolution Methods for Separating Cell Types in Complex Tissues
By S. Mohammadi, N. Zuckerman, A. Goldsmith, and A. Grama
This paper focuses on in silico deconvolution of signals associated with complex tissues into their constitutive cell-type components and surveys a variety of models, methods, and assumptions underlying deconvolution techniques.
An Information-Theoretic View of EEG Sensing
By P. Grover and P. Venkatesh
This paper explores potential advantages of high-density EEG systems for high- resolution imaging of the brain and proposes a hierarchical sensing technique.
The Information Content of Glutamine-Rich Sequences Define Protein Functional Characteristics
By A. Sen, W. C. Hsieh, And R. C. Aguilar
This paper investigates the relation of abnormally expanded glutamine (Q) repeats within specific proteins and their function.
Point of View
Can the Internet Be Greener?
By Sofie Lambert and Mario Pickavet
