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Game theoretic and machine learning techniques for balancing games
(2006-08-21)
Game balance is the problem of determining the fairness of actions or sets of actions in competitive, multiplayer games. This problem primarily arises in the context of designing board and video games. Traditionally, ...
Metareasoning about propagators for constraint satisfaction
(2011-05)
Given the breadth of constraint satisfaction problems (CSPs) and the wide variety of CSP solvers, it is often very difficult to determine a priori which solving method is best suited to a problem. This work explores the ...
A Machine Learning Generalization of LSI-OR
(2016-07-04)
The Level of Service Inventory-Ontario Revision (LSI-OR) is used as a risk/need assessment tool to classify, manage, and treat the offender population so that they receive supportive services consistent with their custodial ...
Improved sequence-read simulation for (meta)genomics
(2014-09-23)
There are many programs available for generating simulated whole-genome shotgun sequence reads. The data generated by many of these programs follow predefined models, which limits their use to the authors' original intentions. ...
Investigating the Quality Aspects of Crowd-Sourced Developer Forum: A Case Study of Stack Overflow
Technical question and answer (Q&A) websites have changed how developers seek information on the web and become more popular due to the shortcomings in official documentation and alternative knowledge sharing resources. ...
A Latent Variable Model for Plant Stress Phenotyping Using Deep Learning
(2020-11-03)
With a growing population and a changing climate, increasing crop yields in a diversity of environmental conditions is becoming increasingly important. Studying genome-by-environment (GxE) effects is a critical path for ...