We present an architectural approach to learning problem solving skills from demonstration, using internal models to represent problem-solving operational knowledge. Internal forwa...
Haris Dindo, Antonio Chella, Giuseppe La Tona, Mon...
Abstract. Uncertainty is inherently ubiquitous in data of real applications, and those uncertain data can be naturally represented by the XML. Matching twig pattern against XML dat...
Complex model editing activities are frequently performed to realize various model evolution tasks (e.g., model scalability, weaving aspects into models, and model refactoring). In...
Yu Sun, Jeff Gray, Christoph Wienands, Michael Gol...
Phase-Change Memory (PCM) technology has received substantial attention recently. Because PCM is byte-addressable and exhibits access times in the nanosecond range, it can be used...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...