We investigate analyticity of joint spectra of Am-valued holomorphic mappings, where A denotes a complex Banach algebra. We show also that if K is an analytic set-valued function whose values are compact subsets of Cn and d is the transfinite diameter in Cn, then the upper-semicontinuous regularization of logd(X) is plurisubharmonic. Moreover, we give higher dimensional extensions of Aupetit's ...

To utilize the full potential of structured or semi-structured data stored across different information systems, users and applications must not be confronted directly with the individual, heterogeneous data sources, but instead be supplied with a customized integrated view on the data. Traditional information integration is relying on a human-driven process to accomplish this task. While feasi...

We consider the following combinatorial problem. We are given three strings s, t, and t of length L over some fixed finite alphabet and an integer m that is polylogarithmic in L. We have a symmetric relation on substrings of constant length that specifies which substrings are allowed to be replaced with each other. Let ∆(n) denote the difference between the numbers of possibilities to obtain t ...

Let A' be a compact C -manifold. Let || ||, || || denote the supremum norm and the C -norm, respectively, and let \P \ be a Markovian semigroup on C(X). The semigroup's infinitesimal generator A, with domain 3), is defined by Af= lim Q t~ (P'f f), whenever the limit exists in || ||. Theorem. Assume that \P s preserves C -junctions and that the restriction of {PA to C2(X), I I' is strongly conti...

This paper details our participation in the NTCIR-11 Temporalia task including Temporal Query Intent Classification (TQIC) and Temporal Information Retrieval (TIR). In the TQIC subtask, we explore the rich temporal information in the labeled and unlabeled search queries. Semi-supervised and supervised linear classifiers are learned to predict the temporal classes for each search query. In the T...

Predicting activities from data gathered with sensors gained importance over the years with the objective of getting a better understanding of the human body. The purpose of this paper is to show that predicting activities on an Android phone is possible. We take into consideration different classifiers, their accuracy using different approaches (hierarchical and one step classification) and li...