We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
The next generation of online reference works will require structured representations of their contents in order to support scholarly functions such as semantic search, automated ...
A declarative rule inference engine can be very useful for modern distributed or heterogeneous applications, if it can be configured for multiple semantics and evaluation strategi...
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
The paper is dedicated to an analysis of the classic business rules study called UServ. The importance of this study comes from the fact, that it serves as a benchmark example for...
To facilitate more meaningful interpretation considering the internal interdependency relationships between data values, a new form of high-order (multiple-valued) pattern known a...
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...