This paper presents a new technique of recovery for object-based Distributed Shared Memory (DSM) systems. The new technique, integrated with a coherence protocol for atomic consis...
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...
This paper describes the derivation of a program for the propagation of information over a network, with acknowledgement (feedback) when the computation is complete. The derivatio...
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...