We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
This paper is concerned about multitasking embedded software development from the system specification to the final implementation including design space exploration(DSE). In the ...
Abstract. Despite its technological success story, the Internet is facing a rampant growth of isolated ontologies and a massive dump of unstructured legacy data. Therefore, archite...
Hand-coded scripts were used in the 1970-80s as knowledge backbones that enabled inference and other NLP tasks requiring deep semantic knowledge. We propose unsupervised induction...
People rarely articulate explicitly what a native speaker of a language is already assumed to know. So to acquire the stereotypical knowledge that underpins much of what is said i...