Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
In this paper, we propose a schema version model which allows to restructure complex object hierarchy in object-oriented databases. This model extends a schema version model, call...
In this paper, we present a term rewriting based library for manipulating Java bytecode. We define a mapping from bytecode programs to algebraic terms, and we use Tom, an extensi...
Emilie Balland, Pierre-Etienne Moreau, Antoine Rei...
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...