Modeling ill-structured optimization tasks through cases
نویسندگان
چکیده
منابع مشابه
Modeling ill-structured optimization tasks through cases
CABINS is a framework of modeling an optimization task in illstructured domains. In such domains, neither systems nor human experts possess the exact model for guiding optimization. And the user's model of optimality is subjective and situation-dependent. CABINS optimizes a solution through iterative revision using case-based reasoning. In CABINS, task structure analysis was adopted for creatin...
متن کامل"Ill-Structured Diagrams" for Ill-Structured Problems
While the distinction between well-structured and illstructured problems is widely recognized in cognitive science, it has not generally been noted that there are often significant differences in the external representations which accompany the two problem types. It is here suggested that there is a corresponding distinction to be made between "well-structured" and "ill-structured" representati...
متن کاملStructured sparsity through convex optimization
Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. While naturally cast as a combinatorial optimization problem, variable or feature selection admits a convex relaxation through the regularization by the l1-norm. In this paper, we consider situations where we are not only interested in sparsity, but where some structural prior knowledge is ...
متن کاملModeling and Validation of Tasks with Algebraic Structured Nets
Ada ooers several mechanisms for expressing concurrency, like tasks and protected types. The use of concurrency can introduce sig-niicant problems which are inherent in the program's interactions or can require some particular properties. Amongst these problems or necessary properties, we can mention deadlocks, fairness and particular temporal characteristics. The modelling of concurrency behav...
متن کاملVisualisation of structured data through generative probabilistic modeling
This thesis is concerned with the construction of topographic maps of structured data. A probabilistic generative model-based approach is taken, inspired by the GTM algorithm. Depending on the data at hand, the form of a probabilistic generative model is specified that is appropriate for modelling the probability density of the data. A mixture of such models is formulated which is topographical...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Decision Support Systems
سال: 1996
ISSN: 0167-9236
DOI: 10.1016/0167-9236(96)00009-7