We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
In light of recent shift towards shared-memory systems in parallel explicit model checking, we explore relative advantages and disadvantages of shared versus private hash tables. ...
Modeling is now an essential ingredient in business process management and information systems development. The general usefulness of models in these areas is therefore generally ...
In this paper, we describe our hybrid parsing model on Mandarin Chinese processing. The model combines the mainstream constitute and dependency parsing and the dataset we use it t...
In this work the authors present an analytical model that -- compared to previously published work -- more accurately captures the delay of IEEE 802.11 protocol under low, medium,...