Semi-supervised clustering is a constrained technique that organizes collection of unlabeled data into homogeneous subgroups with the help domain knowledge expressed as constraints. These methods are, most time, variants popular k-means algorithm. As such, they are based on criterion to minimize. Amongst existing semi-supervised clusterings, Evidential Clustering (SECM) deals problem uncertain/...

This paper provides a new method for computing a risk criterion for decision-making in systems modelled by an Evidential Markov Chain (EMC), which is a generalization to the Dempster-Shafer’s Theory of Evidence [1]: it is a Markov chain manipulating sets of states instead of the states themselves. A cost is associated to each state. An evidential risk measurement derived from the statistical on...

NLM's Unified Medical Language System (UMLS) is a very large ontology of biomedical and health data. In order to be used effectively for knowledge processing, it needs to be customized to a specific domain. In this paper, we present techniques to automatically discover domain-specific concepts, discover relationships between these concepts, build a context map from these relationships, link the...

The study reported here is concerned with how children acquire complex sentences for expressing their beliefs about causally related events, in the transition in language development from simple to complex syntax. Subjects were three girls and four boys, observed longitudinally from 26 to 38 months of age in their homes. Data analysis began with those observations in which each child began to p...

Abstract This paper provides a systematic description and analysis of the non-predictive use Italian future. Several authors claim that, on this use, future is an evidential (Squartini 2001, Mari 2010, Eckardt Beltrama 2019, Frana Menéndez-Benito 2019). Others argue that does not directly contribute signal (e.g., Giannakidou 2018, Farkas Ippolito 2022). We side with camp. From empirical standpo...

Various kinds of forensic evidential samples have been controlled by criminal laws and could not be destroyed carelessly, even if any analytical examinations should be needed on the samples, while those samples should be examined rapidly on the basis of the human rights of the concerned suspects or victims. Those evidential samples have been observed and have been examined by many forensic expe...

This paper presents and analyses the architecture of a process that can be used for map building and path planning purposes. This takes into account the uncertainty inherent in sensor measurements. To this end, Bayesian estimation and Dempster-Shafer evidential theory are used to fuse the sensory information and to update occupancy and evidential grid maps, respectively. The sensory information...