Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
One of the most exciting recent directions in machine learning is the discovery that the combination of multiple classifiers often results in significantly better performance than...
In the spoken language machine translation project Verbmobil, the semantic formalism Language for Underspecified Discourse representation structures (LUD) is used. LUD describes a...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Operational semantics for programming languages usually come in two flavours: big-step and small-step. Both are defined using deduction rules with a congruence rule allowing redu...