Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
—Games, and serious games especially, revolve around learning new material and integrating this into a mental model. However, playing games can be cognitively demanding and novic...
Erik D. Van der Spek, Herre van Oostendorp, Pieter...
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Robust distributed systems commonly employ high-level recovery mechanisms enabling the system to recover from a wide variety of problematic environmental conditions such as node f...
Charles Edwin Killian, Karthik Nagaraj, Salman Per...
Abstract. Explicit state methods have proven useful in verifying safetycritical systems containing concurrent processes that run asynchronously and communicate. Such methods consis...