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A binary classification approach for automatic preference modeling of virtual agents in Civilization IV

Marlos C. Machado, Gisele L. Pappa, Luiz Chaimowicz
2012 2012 IEEE Conference on Computational Intelligence and Games (CIG)  
In this paper we infer Civilization IV's virtual agents preferences with classifiers based on support vector machines.  ...  We model this task as a binary classification problem, allowing us to make more precise inference.  ...  Pieter Spronck who kindly shared with us the original dataset discussed in this paper and was constantly available to further discuss his work, solving our doubts about it.  ... 
doi:10.1109/cig.2012.6374151 dblp:conf/cig/MachadoPC12 fatcat:4evl7zffo5embghs3w6cszzzri

A Methodology for Player Modeling based on Machine Learning [article]

Marlos C. Machado
2013 arXiv   pre-print
We then tackled the preference modeling problem as a binary classification task, with a supervised learning approach.  ...  We also presented a generic approach to deal with player modeling using ML, and we instantiated this approach to model players' preferences in the game Civilization IV.  ...  Acknowledgments The authors survey the field, classifying each work in one of four categories: Player Action Modeling, Player Tactics Modeling, Player Strategies Modeling and Player Profiling.  ... 
arXiv:1312.3903v1 fatcat:dshyw7sdavef3nwatus7ympag4

Framework for Computation Offloading in Mobile Cloud Computing

Dejan Kovachev, Ralf Klamma
2012 International Journal of Interactive Multimedia and Artificial Intelligence  
ACKNOWLEDGEMENTS This proposal was carried out in the network of advanced technology research in Francisco José de Caldas University in Bogotá Colombia, as part of the Ph.D. in Engineering, within the  ...  We thank Tian Yu for the prototype implementation.  ...  Mishra, A new metaheuristic classification approach for microarray data,Procedia Technology, Vol. 4, pp. 802-806, 2012.  ... 
doi:10.9781/ijimai.2012.171 fatcat:zeqxsym4f5ashmjkiivje2uoau

Modelling Geographic Relationships in Automated Environments [chapter]

Guillaume Touya, Bénédicte Bucher, Gilles Falquet, Kusay Jaara, Stefan Steiniger
2014 Lecture Notes in Geoinformation and Cartography  
A generic model is proposed for building an ontology of spatial relations for automatic processes such as generalisation or ondemand mapping, with a focus on so-called multiple representation relations  ...  Spatial relations are key to understanding geographic space and their modelling is a critical issue. This chapter reports on existing classifications and modelling frameworks for spatial relations.  ...  In the second subsection, we formulate relations for these types of groupings using the presented modelling approach.  ... 
doi:10.1007/978-3-319-00203-3_3 fatcat:w3xhusjq2nasnbguamqvpvbwse

Decision-Making Under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Néstor Alzate-Mejía, Germán Santos-Boada, José Roberto de Almeida-Amazonas
2021 Sensors  
According to our conclusions, it is mandatory to establish a means for modeling the human behavior context in order to improve resource assignment and management.  ...  This work, by means of a systematic literature review, focuses on sensor-based Internet of Things scenarios such as Smart Spaces and Industry 4.0.  ...  This may include administrative and technical support, or donations in kind (e.g., materials used for experiments). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21113791 pmid:34070841 fatcat:p2qqa2qfybhb7ilebmh4ecrici

Understanding the Roots of Radicalisation on Twitter

Miriam Fernandez, Moizzah Asif, Harith Alani
2018 Proceedings of the 10th ACM Conference on Web Science - WebSci '18  
In this paper we propose a computational approach for detecting and predicting the radicalisation influence a user is exposed to, grounded on the notion of 'roots of radicalisation' from social science  ...  models.  ...  Rather than treating the problem as a binary classification, our approach will provide a score that symbolises the influence of radicalisation to which a user is exposed to, based on the micro, meso and  ... 
doi:10.1145/3201064.3201082 dblp:conf/websci/FernandezAA18 fatcat:v4vbafy2hvdtpgyp36ndz5uoi4

Goal independent central banks: Why politicians decide to delegate

Christopher Crowe
2008 European Journal of Political Economy  
This paper develops a model of coalition formation that predicts when delegation will occur. An analysis of policy preferences survey data and CBI indicators supports the predictions.  ...  A motivation for central bank independence (CBI) is that policy delegation helps politicians manage diverse coalitions.  ...  Agents are assigned a (binary) score for b i 4 according to the following rule: b i 4 = 1 if a transitive preference ordering ranks high growth above low in ‡ation; b i 4 = 0 if a transitive preference  ... 
doi:10.1016/j.ejpoleco.2008.05.002 fatcat:7nmfvwgulnbgbpmh4jv7dsxahm

Goal Independent Central Banks: Why Politicians Decide to Delegate

Christopher Crowe
2008 Social Science Research Network  
This paper develops a model of coalition formation that predicts when delegation will occur. An analysis of policy preferences survey data and CBI indicators supports the predictions.  ...  A motivation for central bank independence (CBI) is that policy delegation helps politicians manage diverse coalitions.  ...  Agents are assigned a (binary) score for b i 4 according to the following rule: b i 4 = 1 if a transitive preference ordering ranks high growth above low in ‡ation; b i 4 = 0 if a transitive preference  ... 
doi:10.2139/ssrn.1113719 fatcat:xrqqntvpzrc3blcgpya25tkgie

Goal-Independent Central Banks: Why Politicians Decide to Delegate

Christopher W. Crowe
2006 IMF Working Papers  
This paper develops a model of coalition formation that predicts when delegation will occur. An analysis of policy preferences survey data and CBI indicators supports the predictions.  ...  A motivation for central bank independence (CBI) is that policy delegation helps politicians manage diverse coalitions.  ...  Agents are assigned a (binary) score for b i 4 according to the following rule: b i 4 = 1 if a transitive preference ordering ranks high growth above low in ‡ation; b i 4 = 0 if a transitive preference  ... 
doi:10.5089/9781451865165.001 fatcat:ma5irpin4jfidgtgg3a7sedh7i

The Needs and Benefits of Applying Textual Data Mining within the Product Development Process

Rakesh Menon, Loh Han Tong, S. Sathiyakeerthi, Aarnout Brombacher, Christopher Leong
2004 Quality and Reliability Engineering International  
Thus far, most of the studies on data mining within the PDP have focused on numerical databases. In this paper, the need for the study of textual databases is established.  ...  This paper investigates the use of one such tool, textual data mining for the purpose of quality and reliability improvement.  ...  Another application of data mining for the failure diagnosis of process units using probabilistic networks and decision trees was reported by Wang et al. 16 . A semi-automatic approach was used.  ... 
doi:10.1002/qre.536 fatcat:s3ftjmoah5hflik2knvo2pjxme

Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading [article]

Christian Hansen
2021 arXiv   pre-print
text semantics in order to automatically fact-check claims, or "speed read" text for efficient further classification.  ...  Sequential modelling entails making sense of sequential data, which naturally occurs in a wide array of domains.  ...  For the classification loss, we use the standard binary cross entropy loss: CE(y, s) = −y log(s) − (1 − y) log(1 − s) (4) where y is the ground truth binary label of a sentence and s is the checkworthiness  ... 
arXiv:2109.06736v1 fatcat:xawmkvzhgng3vhhrs5xvwokqna

Violence during democratization and the quality of democratic institutions

Matteo Cervellati, Piergiuseppe Fortunato, Uwe Sunde
2014 European Economic Review  
We propose a theory of endogenous regime transition in which violent conflict can arise in equilibrium.  ...  Empirical evidence from the third wave of democratization based on a difference-in-difference methodology supports the theoretical predictions.  ...  They are obtained by solving condition (5) y P + x γ 1 − γ y E (1 − ϕ) ≤ y (7) and y E (1 − x) ≤ y . (8) In this case, the observation that the people prefer a social contract does not automatically  ... 
doi:10.1016/j.euroecorev.2013.12.001 fatcat:7mnzi53tejdj5hivxvxqai5e2m

Management science in the era of smart consumer products: challenges and research perspectives

Herbert Dawid, Reinhold Decker, Thomas Hermann, Hermann Jahnke, Wilhelm Klat, Rolf König, Christian Stummer
2016 Central European Journal of Operations Research  
In this paper, we outline the technical potential and future trends of smart consumer products, discuss economic challenges in four scopes, namely, preference-based new product development, market analysis  ...  , supply chain design, and industry development, and, in particular, we highlight research perspectives for management science in this promising field.  ...  Acknowledgments The authors thank two reviewers as well as Dietmar Bauer for their valuable comments on an earlier version of this paper.  ... 
doi:10.1007/s10100-016-0436-9 fatcat:jgjx76i6gjh67epepizd3rqtri

Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles

Pedram Ghamisi, Jon Atli Benediktsson, Gabriele Cavallaro, Antonio Plaza
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
images) of the data to produce a classification map in order to discriminate different classes of interest, by using a set of representative samples for each class, referred to as training samples.  ...  The main objective of this thesis is the development of efficient spectralspatial classification approaches in terms of classification accuracies.  ...  Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TGRS.2013.2292544  ... 
doi:10.1109/jstars.2014.2298876 fatcat:nxj4xswdlvc3bb47wujib2lahi

Performance on Image Segmentation Resulting In Canny and MoG

Mr. S Ravikumar
2012 IOSR Journal of Computer Engineering  
The mixture of Gaussians (MoG) classifier is enhanced with feature integration model The proposed system is designed to improve the classification accuracy.  ...  The natural image statistics and scene semantic features are combined in the classification process. Integrated feature weight is assigned for the images to perform the learning process.  ...  He Presented a Paper in National conferences. He is a Life member of Computer Society of India and a Life member of Indian Society for Technical Education.  ... 
doi:10.9790/0661-0620108 fatcat:vq7mo32nybdm5m5a5ef7aqhbky
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