We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
In this paper a dynamic perspective on concepts for intelligent agents is propagated. The discussion on the nature of concepts can be simplified to a dichotomy between objective/...
Object-oriented software development is a subject area difficult to teach, especially to beginners. They face a lot of abstraction and (from a beginners point of view) isolated to...