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This is the first extended, English-language study to focus exclusively on the fiction of Juan Rulfo in over twenty years. It contains innovative analyses of a selection of short stories from Rulfo's collection, El llano en llamas (1953). It also examines in great depth two of the main characters of Pedro Paramo (1955), Rulfo's masterpiece and only novel. The book shows how Rulfo's works can be read as exercises in irony directed against the rhetoric of post-Revolutionary Mexican governments. It also demonstrates the relevance of certain legacies of colony in Rulfo's use of irony. Successive...

Multi label classification is a variation of single label classification problem where each instance is associated with more than one class label. The foremost unremarkably used approach to handle multi-label classification problem is to transfer multi-label problem into single label problems, where binary classifier is learned independently for every attainable class labels. However, multi-labeled data generally exhibit relationships between labels, but multi-label classification approach fails to take such relationships under consideration. It's understood that in this type of...

In Classification, Model Selection is one of the critical issues as different models from different categories are available. To select the best model for any given data set is a challenging task. Meta Learning automates this task by acquiring knowledge from the past experience and stores this knowledge into database called Meta Knowledge Base. When new data set comes, stored knowledge can be used for proving ranking of the candidate algorithms. But one of the problems with Meta Learning is generation of Meta Examples as large number of candidate algorithms and data sets are available. To...