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A survey of inverse reinforcement learning:
Artificial Intelligence Review
The process of discovering and incorporating knowledge from educators into machine learning (ML) poses major challenges. Beyond coding the known or derived characteristics of systems into ML algorithms...
Learning (I.2.6)
| May 1 23
A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data:
Computational Statistics & Data Analysis
Many longitudinal clinical studies involve the repeated periodic measurement of continuous responses over a period to detect any changes that might occur in the condition of the...
Algorithms (I.5.3...)
| May 4 23
HPC forecast : cloudy and uncertain: :
Communications of the ACM
This article points to possible directions for high-performance computing (HPC) ecosystem development and the related big challenges for the scientific community and the future of advanced scientific...
Computers In Other Systems (J.7)
| May 8 23
H-Container: enabling heterogeneous-ISA container migration in edge computing: :
ACM Transactions on Computer Systems
Xing et al. describe a novel approach to dealing with the difficulties posed by container migration in edge computing settings with heterogeneous instruction set architectures (ISAs). By putting forth a...
Distributed Systems (C.2.4)
| May 10 23
Lane compression: a lightweight lossless compression method for machine learning on embedded systems:
ACM Transactions on Embedded Computing Systems
Yonsun Ko’s paper presents an innovative approach to compressing machine learning models for use on embedded systems. The paper proposes...
Real-Time Systems And Embedded Systems (D.4.7...)
| May 17 23
Software assistants in software engineering: a systematic mapping study: :
Software—Practice & Experience
The authors note the considerable research and engineering efforts to create numerous software assistants (SAs) that have higher autonomy and intelligence for various stages and aspects...
General (D.2.0)
| May 24 23
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Applied linear analysis for chemical engineers: a multi-scale approach with Mathematica:
This 750-plus-page book on applied linear analysis is the culmination of the authors’ more than three decades of experience teaching graduate students in chemical engineering, as well as a continuation of their own mentors’ legacy. It is reminiscent of books with...
General (G.1.0)
| May 2 23
Beyond data: reclaiming human rights at the dawn of the metaverse
This book is a short, focused essay on data security and privacy. The author makes it clear that these are two separate matters that are often in conflict both in practice and in law. Each of the book’s three major sections emphasizes a different stage in the...
General (K.4.0)
| May 11 23
Applied probability and stochastic processes:
Natural phenomena are very complicated, and statistical analysis, which is categorized in the stochastic conceptual framework, is an effective tool to formulate, estimate, and predicate their nature, behaviors, and functionalities. Stochastic processes are useful...
Stochastic Programming (G.1.6...)
| May 16 23
Artificial intelligence, machine learning, and optimization tools for smart cities: designing for sustainability:
The book’s 11 chapters deal with digital “vitalism” in cities, unbuildable cities, smart cities and identities, services and data representation of information and communication technology (ICT), strategies for passers-by...
Architecture (J.5...)
| May 22 23
Big data and public policy: course, content, and outcome
Big data and public policy: course, content, and outcome, by Rebecca Moody and Victor Bekkers, is an excellent book for those who are involved in policy-making processes and looking to learn how big data and public policy are strengthened together. The book is well structured and easy to follow, with plenty of...
Public Policy Issues (K.4.1)
| May 25 23
Data analysis for social science: a friendly and practical introduction
Earl Babbie’s classic textbook The practice of social research, which went to its 15th edition in 2021 [1], is a standard reference for social science students and researchers. Its comprehensive review of research methods is still of great value even to modern data analysts in...
General (E.0)
| May 31 23
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