Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
C code implementation of several math algorithms such as Linear Algebraic Equations,
Interpolation and Extrapolation, Integration of Functions, Evaluation of Functions, Random Num...
William H. Press, Saul A. Teukolsky, William T. Ve...
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Dynamic sentiment ambiguous adjectives (DSAAs) like "large, small, high, low"pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method ...