Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This paper presents an approac...
Web servers must be protected from overload since server overload leads to low server throughput and increased response times experienced by the clients. Server overload occurs wh...
In thispaper we present an adaptive technique that combines forward error correction (FEC) with channel state estimation (CSE)and automatic repeat request (ARQ)for packet loss rec...