Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Battery lifetime and safety are primary concerns in the design of battery operated systems. Lifetime management is typically supervised by the system via battery-aware task schedu...
Suman Kalyan Mandal, Praveen Bhojwani, Saraju P. M...
The ongoing technological advances in the semiconductor industry make Multi-Processor System-on-a-Chips (MPSoCs) more attractive, because uniprocessor solutions do not scale satis...
Roman Obermaisser, Hubert Kraut, Christian El Sall...
We have previously reported on ProPOSEL, a purpose-built Prosody and PoS English Lexicon compatible with the Python Natural Language ToolKit. ProPOSEC is a new corpus research res...