نتایج جستجو برای: populated classes
تعداد نتایج: 167168 فیلتر نتایج به سال:
The most complete form of academic timetabling problem is the population and course timetabling problem. In this problem, there may be multiple classes of each subject, and the decision on which students are to constitute each class is made in concert with the decision on the timetable for each class. In order to solve this problem, it is normally simplified or decomposed in some fashion. One s...
This paper presents the algorithms and results of the “idiap” team participation to the ImageCLEFmed annotation task in 2008. On the basis of our successful experience in 2007 we decided to integrate two different local structural and textural descriptors. Cues are combined through concatenation of feature vectors and through the MultiCue Kernel. The challenge this year was to annotate images c...
A major goal of cancer genome sequencing is to identify mutations or other somatic alterations that can be targeted by selective and specific drugs. dGene is an annotation tool designed to rapidly identify genes belonging to one of ten druggable classes that are frequently targeted in cancer drug development. These classes were comprehensively populated by combining and manually curating data f...
This paper presents the algorithms and results of the “idiap” team participation to the ImageCLEFmed annotation task in 2008. On the basis of our previous experience in 2007 we decided to integrate two different local structural and textural descriptors. Cues are combined through concatenation of feature vectors and through the MultiCue Kernel. The challenge this year asked to annotate images c...
Class specific mortality in 17th and 18th Century Vienna shows a cyclical pattern which is related to grain price cycles in the 5-10 years range. This relationship is not stable over time. Applying spectral analysis based on time-varying VARs, it can be shown that at the beginning of the observation period, comovement of grain prices and mortality is considerably high in areas populated by lowe...
Large spatial datasets often represent a number of spatial point processes generated by distinct entities or classes of events. When crossed with covariates, such as discrete time buckets, this can quickly result in a data set with millions of individual density estimates. Applications that require simultaneous access to a substantial subset of these estimates become resource constrained when d...
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