Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Wirelength estimation techniques typically contain a site density function that enumerates all possible path sites for each wirelength in an architecture and an occupation probabil...
Chung-Kuan Cheng, Andrew B. Kahng, Bao Liu, Dirk S...
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
This paper introduces a method of constructing random number generators from four of the basic primitives provided by FPGAs: Flip-Flips, Lookup-Tables, Shift Registers, and RAMs. ...