You're at: Home » Browse » Congress » 2004 » Machine Learning in Science and Engineering

Machine Learning in Science and Engineering



A broad overview about the current stage of research in Machine Learning starting with the general motivation and the setup of learning problems and discussion of state-of-the-art learning algorithms for novelty detection, classification and regression. Additionally, machine learning methods used for spam detection, intrusion detection, brain computer interace and biological sequence analysis are outlined.

Top-Clips