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Academic Journals
- 4,231
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From:AI Magazine (Vol. 34, Issue 3) Peer-Reviewed* We give a brief overview of the Mario AI Championship, a series of competitions based on an open source clone of the seminal platform game Super Mario Bros. The competition has four tracks. The Gameplay and Learning...
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From:Informatica (Vol. 38, Issue 1) Peer-ReviewedThis article presents a summary of the doctoral dissertation of the author, which addresses the task of classifier generation by combining domain knowledge and machine learning. Keywords: prior domain knowledge,...
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From:Mathematical Problems in EngineeringPeer-ReviewedWe consider single machine scheduling problems with learning/deterioration effects and time-dependent processing times, with due date assignment consideration, and our objective is to minimize the weighted number of...
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From:Annals of Operations Research (Vol. 222, Issue 1) Peer-ReviewedAn uncertain version of the task scheduling problem on unrelated machines to minimize the total flow time is considered. It is assumed that processing times are not known a priori, but they belong to intervals of known...
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From:Informatica (Vol. 38, Issue 4) Peer-ReviewedThis article presents a summary of the doctoral dissertation of the author, which addresses the task of machine learning under hubness in intrinsically high-dimensional data. Povzetek: Prispevek predstavlja povzetek...
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From:Informatica (Vol. 37, Issue 3) Peer-ReviewedWe propose a general, simple and practical technique, named Distributed Leafs Pruning (DLP), which can be combined with every distance vector routing algorithm based on shortest paths, allowing to reduce the total...
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From:Nature (Vol. 521, Issue 7553) Peer-ReviewedReinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It...
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From:AI Magazine (Vol. 32, Issue 1) Peer-ReviewedCurrently the largest gap between human and machine learning is learning algorithms' inability to perform deep transfer, that is, generalize from one domain to another domain containing different objects, classes,...
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From:Computing and Information Systems (Vol. 14, Issue 3) Peer-ReviewedWe investigate the problem of using reinforcement learning in continuous state spaces and with problems in which the proposed actions also reside in a continuous space. To this end, we use a radial basis function whose...
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From:College Literature (Vol. 42, Issue 4) Peer-ReviewedABSTRACT This essay positions the use of machine learning within the digital humanities as part of a wider movement that nostalgically seeks to return literary criticism to the structuralist era, to a moment...
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From:AI Magazine (Vol. 27, Issue 3) Peer-ReviewedThe decision-making process of computer-controlled opponents in video games is called game AI. Adaptive game AI can improve the entertainment value of games by allowing computer-controlled opponents to fix weaknesses...
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From:Frontiers in PsychologyPeer-ReviewedAuthor(s): Areej Babiker, Ibrahima Faye, Kristin Prehn, Aamir Malik Pupil diameter (PD) has been suggested as a reliable parameter for identifying an individual's emotional state. In this paper, we introduce a...
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From:Mathematical Problems in EngineeringPeer-ReviewedThere are various definitions of mutual information. Essentially, these definitions can be divided into two classes: (1) definitions with random variables and (2) definitions with ensembles. However, there are some...
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From:Computational and Mathematical Methods in Medicine (Vol. 2015) Peer-ReviewedIn recent years, many computational methods have been proposed to tackle the problems that arise in analyzing various large-scale high dimensional data in biology and medicine. Useful techniques have been developed by...
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From:PLoS ONE (Vol. 8, Issue 7) Peer-ReviewedAuthor(s): Thomas Schmid 1, Martin Bogdan 1, Dorothee Günzel 2,* Introduction Transepithelial resistence (RT , often also abbreviated as TER) is a standard parameter determined in epithelial physiology to...
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From:PLoS ONE (Vol. 8, Issue 10) Peer-ReviewedIntroduction The outstanding developments in technology (such as miniaturization or digital information processing) over the past few decades have provided scientists with new, yet unexploited opportunities for...
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From:PLoS ONE (Vol. 8, Issue 7) Peer-ReviewedAuthor(s): Jesus Montes 1, Elena Gomez 1, Angel Merchán-Pérez 1,2, Javier DeFelipe 2,3, Jose-Maria Peña 1,* Introduction Most information in the mammalian nervous system flows through chemical synapses. These are...
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From:PLoS ONE (Vol. 8, Issue 11) Peer-ReviewedAuthor(s): Shinhyuk Kim, Daeyong Jin, Hyunju Lee * Introduction Computational approaches are promising tools in drug research since they can help reduce the time, costs, and failure rates for developing new drugs....
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From:PLoS ONE (Vol. 9, Issue 1) Peer-Reviewed
A Comparison of the Predictive Power of Anthropometric Indices for Hypertension and Hypotension Risk
Author(s): Bum Ju Lee, Jong Yeol Kim * Introduction Along with the prevalence of obesity, high blood pressure is a common health issue in both women and men worldwide and has become a major disease in Korea... -
From:Frontiers in Robotics and AIPeer-ReviewedAuthor(s): Andreas Persson, Martin Längkvist, Amy Loutfi In this paper, we examine how to ground symbols referring to objects in perceptual data from a robot system by examining object entities and their changes over...