Abstract. After the doubtful success of content-based e-learning systems, simulations are gaining momentum within the e-learning community. Along this line we are working on JV2 M,...
is an abstract graph reduction machine for the implementation of lazy functional languages. Categorical multi-combinators served as a basis for the evaluation model of µΓCMC. Th...
Ricardo Massa Ferreira Lima, Rafael Dueire Lins, A...
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
Optimizations performed at link time or directly applied to final program executables have received increased attention in recent years. Such low-level optimizations can benefit...
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...