We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-drive...
The random k-SAT model is extensively used to compare satisfiability algorithms or to find the best settings for the parameters of some algorithm. Conclusions are derived from the...
Due to recent advances in network and computing facilities, use of the Internet is becoming popular and promising in various areas such as scientific collaboration, information di...
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
In the last years several 3D model compression methods for multiresolution applications have been presented, most of them using 3D meshes. Octrees are a natural multiresolution re...