Today's software faces escalating technical and business difficulties, yet it continues to be coded in static, inflexible structures that are not prepared for automation and ...
Knowledge is now recognized as the key differentiating resource among firms. The ability to integrate widely held knowledge to derive new products and services constitutes a meta-...
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...