Let ${\mathcal M}\subset {\mathbb R}^n$ be a $C^2$-smooth compact submanifold of dimension $d$. Assume that the volume M}$ is at most $V$ and reach (i.e. normal injectivity radius) greater than $\tau$. Moreover, let $\mu$ probability measure on which density strictly positive Lipschitz-smooth function. $x_j\in {\mathcal M}$, $j=1,2,\dots,N$ $N$ independent random samples from distribution $\mu$...

The output data from a structure is the building block for output-only modal analysis. The structure response in the output data, however, is usually contaminated with noise. Naturally, the success of output-only methods in determining the modal parameters of a structure depends on noise level. In this paper, the possibility and accuracy of identifying the modal parameters of a simply supported...

In the present paper, we study iterative learning of indexable concept classes from noisy data. We distinguish between learning from positive data only and learning from positive and negative data; synonymously, learning from text and informant, respectively. Following 20], a noisy text (a noisy informant) for some target concept contains every correct data item innnitely often while in additio...

Unrehearsed spoken language often contains disfluencies. In order to correctly interpret a spoken utterance, any such disfluencies must be identified and removed or otherwise dealt with. Operating on transcripts of speech which contain disfluencies, our particular focus here is the identification and correction of speech repairs using a noisy channel model. Our aim is to develop a high-accuracy...