Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To hel...
Abstract. Often the information present in a spatial knowledge base is represented at a different level of granularity and abstraction than the query constraints. For querying onto...
Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. H...
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...
— This paper presents a technique for solving multiclass classification problems using a coevolutionary approach. There are m populations, where m is the number of classes. Indi...
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...