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Sport result prediction is nowadays very popular among fans around the world, which particularly contributed to the expansion of sports betting. This makes the problem of predicting the results of sporting events, a new and interesting challenge. Consequently systems dealing with this problem are developed every day. This paper presents one such system, which uses data mining techniques in order to...
The presented path-guidance system is able to learn movements and to predict motion. It shall enhance safe navigation for surgeons in minimally invasive surgery by creating a virtual fixture which holds the end-effector's motion to a desired path and warning the surgeon in a dangerous situation. Surgeons can demonstrate interventions and best practices. The system collects information from surgeon...
The performance of a classification model depends not only on the algorithm by which the model is learned, but also on the training set. Manual annotation of the training data is a tedious and time consuming job. In order to overcome the problem of laborious hand-labeling of a large training set, a set of techniques called semi-supervised learning was designed. Co-training is one of the major semi-supervised...
The aim of this paper is to introduce a formalism suitable for solving classification/decision making problems with classification criteria expressible either as a propositional formula, or as an admissible function of the values of the quality attributes. For our purpose, the class of admissible functions coincides with the class of the RCF definable functions, where RCF is the usual acronym for...
This paper suggests a new pattern of human knowledge. Its execution represents an important stage in the general framework of aiming the building of an artificial cognitive system. First the general presentation of the artificial cognitive system, its objective, main principles and implementation phases are highlighted. The known patterns, which have a cultural (philosophical, psychological and linguistic)...
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