a Centre for Bio-Archaeology and Ecology (UMR5059, CNRS/Université Montpellier 2/EPHE), Institut de Botanique, 163 rue Broussonet, F-34090 Montpellier, France b Paleoenvironments and Chronoecology (PALECO), Ecole Pratique des Hautes Etudes (EPHE), Institut de Botanique, 163 rue Broussonet, F-34090 Montpellier, France c UR Biens et services des écosystèmes forestiers tropicaux (CIRAD), Montpelli...

Gaussian process (GP) models provide non-parametric methods to fit continuous curves observed with noise. In this paper, we develop a GP based inverse method that allows for the estimation of the derivative of a curve, avoiding direct estimation from the data. In principle, a GP model may be fit to the data directly, then the derivatives obtained by means of differentiation of the correlation f...

3 P. Filannino, G. Cardinali, C. G. Rizzello, S. Buchin, M. De Angelis, M. Gobbetti and 4 R. Di Cagno 5 Department of Soil, Plant and Food Science, University of Bari Aldo Moro, I-70126 Bari Italy. 6 Sez. Microbiologia Applicata Dipartimento di Biologia Vegetale e Biotecnologie 7 Agroambientali, University of Perugia, I06121 Perugia, Italy. 8 INRA, UR 342, Technologie et Analyses Laitières, F-3...

L. Bergès (Corresponding author) • C. Avon Irstea, UR EMAX, CS 40061, 13182 Aix-en-Provence Cedex 5, France e-mail: [email protected] phone: +33442669906/fax: +33442669923 V. Pellissier UMR 7204 CERSP, MNHM/CNRS/UPMC, 61 rue Buffon, 75005 Paris K. Verheyen Ghent University, Laboratory of Forestry, Geraardsbergsesteenweg 267, 9090 MelleGontrode, Belgium J.L. Dupouey INRA-Nancy University,...

S. D. Prestwich, B. Hnich, H. Simonis, R. Rossi, and S. A. Tarim Cork Constraint Computation Centre, University College Cork, Ireland Faculty of Computer Science, Izmir University of Economics, Turkey Logistics, Decision and Information Sciences Group, Wageningen UR, the Netherlands Operations Management Division, Nottingham University Business School, Nottingham, UK [email protected], brah...

A scheme for construction of uncertainty relations (UR) for n observables and m states is presented. Several lowest order UR are displayed and briefly discussed. For two states |ψ〉 and |φ〉 and canonical observables the (entangled) extension of Heisenberg UR reads [∆p(ψ)][∆q(φ)]+[∆p(φ)][∆q(ψ)] ≥ 1/2. Some possible applications of the new inequalities are noted.

Active learning is used in situations where the amount of unlabeled data is abundant but it is costly to manually label the data. So, depending on our available budget, from all unlabeled instances we are to select only a subset of them to ask the oracle for manual labeling. Thus, the query strategy, i.e., how relevant instances are selected to be sent to the oracle, plays an important role in ...

Various service management tasks depend on knowledge about objects they are applied to. Understanding dependencies between these objects is of special interest. Such dependency models are neither generally available nor easy to create. Creating them manually is expensive in regard to both time and money. In addition, they must be brought up to date, re ecting the frequent changes in the managed...

Starting with any R-matrix with spectral parameter, obeying the YangBaxter equation and a unitarity condition, we construct the corresponding infinite dimensional quantum group UR in term of a deformed oscillators algebra AR. The realization we present is an infinite series, very similar to a vertex operator. Then, considering the integrable hierarchy naturally associated to AR, we show that UR...

Compacted GMZ01 Bentonite under Confined Conditions 2 3 W. M. Y E , M. WAN , B. CHEN ,Y. G. CHEN ,Y. J. CUI , J. WANG 4 a. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji 5 University, Shanghai 200092,China 6 b. United Research Center for Urban Environment and Sustainable Development, the Ministry of 7 Education, Shanghai 200092,China 8 c. UR Navier, ...