In this survey paper we describethe combination of: discretized integral formulations, sparsication techniques, and krylov-subspace based model-order reduction that has led to rob...
We combine two complementary ideas for learning supertaggers from highly ambiguous lexicons: grammar-informed tag transitions and models minimized via integer programming. Each st...
A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms,...
In this paper, we reviewed several newly presented nonlinear model order reduction methods, we analyze these methods theoretically and with experiments in detail. We show the prob...
— In any information system, the reducts are useful in classifying data. Janusz Starzyk developed an algorithm for computing reducts using strong equivalence and the law of expan...