With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...
Distributed-memory programs are often written using a global address space: any process can name any memory location on any processor. Some languages completely hide the distincti...
We are presenting a description of the UNL initiative based on the Universal Networking Language (UNL). This language was conceived to be the support of the multilingual communicat...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...