15 papers · ranked by Valyu relevance
Enes Makalic, Daniel Francis Schmidt, Raúl Alcaraz, Luca Faes + 2 more
'Leandro Pardo' 'Boris Ryabko'] Data with censoring is common in many areas of science and the associated statistical models are generally estimated with the method of maximum likelihood combined with a model selection criterion such as Akaike’s information criterion. This manuscript demonstrates how the information…
Enes Makalic, Daniel F. Schmidt
The aim of this manuscript is to introduce the Bayesian minimum message length principle of inductive inference to a general statistical audience that may not be familiar with information theoretic statistics. We describe two key minimum message length inference approaches and demonstrate how the principle can be used…
Zheng Fang, David L. Dowe, Shelton Peiris, Dedi Rosadi + 2 more
'Eric Nalisnick' 'Dustin Tran'] Modeling and analysis of time series are important in applications including economics, engineering, environmental science and social science. Selecting the best time series model with accurate parameters in forecasting is a challenging objective for scientists and academic researchers.…
Chi Kuen Wong, Enes Makalic, Daniel F. Schmidt
This paper applies the minimum message length principle to inference of linear regression models with Student-t errors. A new criterion for variable selection and parameter estimation in Student-t regression is proposed. By exploiting properties of the regression model, we derive a suitable non-informative proper…
Zihao Wen, David L. Dowe, Abhijit Mandal, Suneel Babu Chatla
Species distribution modeling is fundamental to biodiversity, evolution, conservation science, and the study of invasive species. Given environmental data and species distribution data, model selection techniques are frequently used to help identify relevant features. Existing studies aim to find the relevant features…
Ian B. Thomas, Ingrid Zukerman, Jonathan Oliver, David Albrecht + 1 more
'Bhavani Raskutti'] The Lexical Access Problem consists of determining the intended sequence of words corresponding to an input sequence of phonemes (basic speech sounds) that come from a low-level phoneme recognizer. In this paper we present an information-theoretic approach based on the Minimum Message Length…
Ruida Zhou, Chao Tian, Hua Sun, Tie Liu
We consider constructing capacity-achieving linear codes with minimum message size for private information retrieval (PIR) from N non-colluding databases, where each message is coded using maximum distance separable (MDS) codes, such that it can be recovered from accessing the contents of any T databases. It is shown…
James H. Collier, Lloyd Allison, Arthur M. Lesk, Peter J. Stuckey + 2 more
Structural molecular biology depends crucially on computational techniques that compare protein three-dimensional structures and generate structural alignments (the assignment of one-to-one correspondences between subsets of amino acids based on atomic coordinates.) Despite its importance, the structural alignment…
Teresa W. Lo, Han Kyou James Choi, Dean Huang, Paul A. Wiggins
The inherent stochasticity of cellular processes leads to significant cell-to-cell variation in protein abundance. Although this noise has already been characterized and modeled, its broader implications and significance remain unclear. In this paper, we revisit the noise model and identify the number of messages…
Wesley dos Reis Bezerra, Fernando Koch, Carlos Becker Westphall
We analyze the utilization of publish-subscribe protocols in IoT and Fog Computing and challenges around security configuration, performance, and qualitative characteristics. Such problems with security configuration lead to significant disruptions and high operation costs. Yet, These issues can be prevented by…
Bogdan Oniga, Leon Denis, Vasile Dadarlat, Adrian Munteanu
The Internet of Things (IoT) domain presents a wide spectrum of technologies for building IoT applications. The requirements are varying from one application to another granting uniqueness to each IoT system. Each application demands custom implementations to achieve efficient, secure and cost-effective environments.…
Michael Szell, Sébastian Grauwin, Carlo Ratti, Jesus Gomez-Gardenes
Quantifying regularities in behavioral dynamics is of crucial interest for understanding collective social events such as panics or political revolutions. With the widespread use of digital communication media it has become possible to study massive data streams of user-created content in which individuals express…
R. Kavitha, Niranjana Ambadi, B. Sundar Rajan
—An index coding problem arises when there is a single source with a number of messages and multiple receivers each wanting a subset of messages and knowing a different set of messages a priori. The noiseless Index Coding Problem is t o identify the minimum number of transmissions (optimal length) to be made by the…
Sol-Bee Lee, Sam Nguyen-Xuan, Jung-Hyok Kwon, Eui-Jik Kim + 3 more
'Slim Naifar' 'Olfa Kanoun' 'Carlo Trigona'] This paper presents a multiple concurrent slotframe scheduling (MCSS) protocol for wireless power transfer (WPT)-enabled wireless sensor networks. The MCSS supports a cluster-tree network topology composed of heterogeneous devices, including hybrid access points (HAPs)…
John P. Marken, Richard M. Murray
We develop a system for implementing “packet-based” intercellular communication in an engineered bacterial population via conjugation. Our system uses gRNA-based identification markers that allow messages to be addressed to specific strains via Cas9-mediated cleavage of messages sent to the wrong recipient, which we…