نتایج جستجو برای: where bi

تعداد نتایج: 837136  

2013
Olgerta Tona Sven A. Carlsson

Due to the new generation of mobile devices such as smartphones and tablets, users are no longer constrained to their traditional devices such as PCs and laptops in order to access the information they need. This has given rise to a new trend in Business Intelligence (BI) coined mobile BI. This new term reflects an organizing vision, created by a broad community, which is prominent during the c...

2017

We have N = {1, . . . , n} bidders, where each bidder has a private valuation vi drawn from distribution Fi 1 with strictly positive den1 Here, we assume that valuations follow the IPV model. sity, fi : Ti → R>0, for a good up for sale by the auctioneer, agent 0. In a first-price, sealed-bid auction, each agent has a type vi ∈ Ti, and submits a bid bi to the auctioneer, without revealing what t...

Journal: :IJBIR 2011
Daniel O'Neill

Enterprises today continue to invest in business intelligence (BI) initiatives with the hope of providing a strategic advantage to their organizations. Many of these initiatives are supporting the tactical goals of individual business units and not the strategic goals of the enterprise. Although this decentralized approach provides short term gains, it creates an environment where information s...

Journal: :Physical chemistry chemical physics : PCCP 2013
Sean P Berglund Heung Chan Lee Paul D Núñez Allen J Bard C Buddie Mullins

A new dispenser and scanner system is used to create and screen Bi-M-Cu oxide arrays for cathodic photoactivity, where M represents 1 of 22 different transition and post-transition metals. Over 3000 unique Bi : M : Cu atomic ratios are screened. Of the 22 metals tested, 10 show a M-Cu oxide with higher photoactivity than CuO and 10 show a Bi-M-Cu oxide with higher photoactivity than CuBi2O4. Cd...

2007
Michel GRABISCH Christophe LABREUCHE

Bi-capacities arise as a natural generalization of capacities (or fuzzy measures) in a context of decision making where underlying scales are bipolar. They are able to capture a wide variety of decision behaviours, encompassing models such as Cumulative Prospect Theory (CPT). The aim of this paper in two parts is to present the machinery behind bicapacities, and thus remains on a rather theoret...

Journal: :CoRR 2005
Michel Grabisch Christophe Labreuche

Bi-capacities arise as a natural generalization of capacities (or fuzzy measures) in a context of decision making where underlying scales are bipolar. They are able to capture a wide variety of decision behaviours, encompassing models such as Cumulative Prospect Theory (CPT). The aim of this paper in two parts is to present the machinery behind bicapacities, and thus remains on a rather theoret...

Journal: :Data Knowl. Eng. 2001
Günter Preuner Stefan Conrad Michael Schrefl

ion request ROOM-RES requested ROOM-RES confirmed r r confirm ROOM-RES used r use r r (c) abstracted view ROOM-RES Figure 14: Integration steps for view ROOM-RES Example: During abstraction, labels rr and rs of ROOM-RES, which correspond to label r in CAR-RES by inclusion, are abstracted to label r; the di erent re nements of the abstract activity use, which correspond to each other by a subnet...

Journal: :Computer Aided Geometric Design 2008
Ashish Myles Kestutis Karciauskas Jörg Peters

Surface constructions of polynomial degree (3,3) come in four flavours that complement each other: one pair extends the subdivision paradigm, the other the NURBS patch approach to free-form modeling. The first pair, Catmull-Clark (Catmull and Clark, 1978) and Polar subdivision (Karčiauskas and Peters, 2007) generalize bi-cubic subdivision: While Catmull-Clark subdivision is more suitable where ...

2013
Harry Strange Erika R. E. Denton Minnie Kibiro Reyer Zwiggelaar

There is a strong correlation between relative mammographic breast density and the risk of developing breast cancer. As such, accurately modelling the percentage of a mammogram that is dense is a pivotal step in density based risk classification. In this work, a novel method based on manifold learning is used to segment high-risk mammograms into density regions. As such, finer details are prese...

Journal: :CoRR 2013
Khamsa Djaroudib Abdelmalik Taleb-Ahmed Abdelmadjid Zidani

Mass abnormality segmentation is a vital step for the medical diagnostic process and is attracting more and more the interest of many research groups. Currently, most of the works achieved in this area have used the Gray Level Co-occurrence Matrix (GLCM) as texture features with a region-based approach. These features come in previous phase for segmentation stage or are using as inputs to class...

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