Learning of continuous valued functions using neural network ensembles (committees) can give improved accuracy, reliable estimation of the generalization error, and active learning. The ambiguity is defined as the variation of the output of ensemble members averaged over unlabeled data, so it quantifies the disagreement among the networks. It is discussed how to use the ambiguity in combination...

The ambiguity function that results from the space-variant optical processing of nonlinear coded waveforms is analyzed. The space-variant signal processor considered is realized by coordinate transformations. Specifically we consider x = lnt, which results in a Mellin transform-based Doppler-invariant signal processor. Ambiguity function data are provided for a nonlinearly coded 13-bit Barker c...

In studies of ancient Greek divination, oracles are often claimed to pronounce ambiguous but true statements within an intricately ordered cosmos. There exist, however, several problematic exceptions. Book 2 the Iliad , Zeus deliberately deceives Agamemnon through a prophetic dream; Hesiod’s Muses speak truths or lies depending on their mood; and Apollo’s utterances can harm as easily help. The...