Titlebook: Inductive Logic Programming; 25th International C Katsumi Inoue,Hayato Ohwada,Akihiro Yamamoto Conference proceedings 2016 Springer Interna

思乡病

PALMY

简洁

Distributed Parameter Learning for Probabilistic Ontologies,wever, the computational cost of this algorithm is significant since it may take hours to complete an execution. In this paper we present ., a distributed version of EDGE that exploits the MapReduce strategy by means of the Message Passing Interface. Experiments on various domains show that . significantly reduces EDGE running time.

paltry

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Meta-Interpretive Learning of Data Transformation Programs,ical patient records, XML mondial records, and natural language taken from ecological papers. The experimental results suggest that high levels of predictive accuracy can be achieved in these tasks from small numbers of training examples, especially when learning with recursion.

CURB

我怕被刺穿

Identification of Transition Models of Biological Systems in the Presence of Transition Noise,e-constructions of known networks from simulated data with varying amounts of transition-noise added. In each case, the target model traces a specific trajectory through the state-space. Model structures that explain the noisy state-sequences are obtained based on recent work which formulates the id

heterogeneous

many drugs. Addressing these issues has proven more difficult than anticipated and actual progress in patient safety has been frustratingly slow. Reference [.] Root cause analysis of serious adverse events invariably points to problems with communication and orientation as the most important contri

建筑师

Laura Antanas,Plinio Moreno,Luc De Raedt many drugs. Addressing these issues has proven more difficult than anticipated and actual progress in patient safety has been frustratingly slow. Reference [.] Root cause analysis of serious adverse events invariably points to problems with communication and orientation as the most important contri