Every Variable of Us

Every Variable of Us
Author: Charles A. Bush
Publisher: North Star Editions, Inc.
Total Pages: 313
Release: 2022-03-01
Genre: Young Adult Fiction
ISBN: 1635830753

After Philly teenager Alexis Duncan is injured in a gang shooting, her promising basketball career comes to a halt. At the urging of new Indian student (and crush?) Aamani, Alexis shifts her focus to the school’s STEM team in hopes of earning a college scholarship, but gains more than she could’ve imagined.

The Vector-Valued Maximin

The Vector-Valued Maximin
Author: Slukvadze
Publisher: Academic Press
Total Pages: 425
Release: 1993-12-09
Genre: Computers
ISBN: 0080958788

The Vector-Valued Maximin

Multi-Agent Systems

Multi-Agent Systems
Author: Dorothea Baumeister
Publisher: Springer Nature
Total Pages: 462
Release: 2022-12-10
Genre: Computers
ISBN: 3031206142

This book constitutes thoroughly refereed and revised selected papers from the proceedings of 19th European Conference on Multi-Agent Systems, EUMAS 2022, held in Düsseldorf, Germany, during September 14–16, 2022. The 23 full papers included in this book were carefully reviewed and selected from 36 submissions. The book also contains 6 short summaries of talks from PhD students at the PhD day. The papers deal with current topics in the research and development of multi-agent systems.

Interpreting and Using Statistics in Psychological Research

Interpreting and Using Statistics in Psychological Research
Author: Andrew N. Christopher
Publisher: SAGE Publications
Total Pages: 554
Release: 2016-08-30
Genre: Psychology
ISBN: 1506304184

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Field Methods in Marine Science

Field Methods in Marine Science
Author: Scott Milroy
Publisher: Garland Science
Total Pages: 318
Release: 2020-10-12
Genre: Science
ISBN: 0429640773

Field Methods in Marine Science: From Measurements to Models is an authoritative guide of the methods most appropriate for field research within the marine sciences, from experimental design to data analysis. Written for upper-level undergraduate and graduate students as well as early-career researchers, this textbook also serves as an accessible introduction to the concepts and practice of modeling marine system dynamics. This textbook trains the next generation of field scientists to move beyond the classic methods of data collection and statistical analysis to contemporary methods of numerical modeling; to pursue the assimilation and synthesis of information, not the mere recording of data. Boxes and side bars highlight important questions, interesting facts, relevant examples, and research techniques that supplement the text. Students and researchers alike will find the thorough appendices useful as a way of expanding comprehension of fundamental concepts.

Inductive Logic Programming

Inductive Logic Programming
Author: Tamas Horváth
Publisher: Springer Science & Business Media
Total Pages: 411
Release: 2003-09-24
Genre: Computers
ISBN: 3540201440

This book constitutes the refereed proceedings of the 13th International Conference on Inductive Logic Programming, ILP 2003, held in Szeged, Hungary in September/October 2003. The 23 revised full papers presented were carefully reviewed and selected from 53 submissions. Among the topics addressed are multirelational data mining, complexity issues, theory revision, clustering, mathematical discovery, relational reinforcement learning, multirelational learning, inductive inference, description logics, grammar systems, and inductive learning.