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Chapter and Conference Paper
Discriminative Interpolation for Classification of Functional Data
The modus operandi for machine learning is to represent data as feature vectors and then proceed with training algorithms that seek to optimally partition the feature space
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Chapter and Conference Paper
Service Discovery from Observed Behavior while Guaranteeing Deadlock Freedom in Collaborations
Process discovery techniques can be used to derive a process model from observed example behavior (i.e., an event log). As the observed behavior is inherently incomplete and models may serve different purposes...
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Chapter and Conference Paper
Managing Process Model Collections with AProMoRe
As organizations reach higher levels of Business Process Management maturity, they tend to collect numerous business process models. Such models may be linked with each other or mutually overlap, supersede one...
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Chapter and Conference Paper
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamical systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding probability distribution over th...
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Chapter and Conference Paper
Liquid Course Artifacts Software Platform
Liquid Course Artifacts Software Platform aims to improve social productivity and enhance interactive experience for teaching and collaborating by using suppliment materials such as slides, exercises, audios, ...
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Chapter and Conference Paper
Incorporating Expectations as a Basis for Business Service Selection
The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectations of the participants. Specifically, ...
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Chapter and Conference Paper
Distributed XML Processing
XML is commonly used to store data and to exchange it between a variety of systems. While centralized querying of XML data is increasingly well understood, the same is not true in a scenario where the data is ...
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Chapter and Conference Paper
NEWS: Bringing Semantic Web Technologies into News Agencies
In the current Information Society, being informed is a basic necessity. As one of the main news bussiness actors, news agencies are required to provide fresh, relevant, high-quality information to their custo...
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Chapter and Conference Paper
Capabilities: Describing What Services Can Do
The ability of agents and services to automatically locate and interact with unknown partners is a goal for both the semantic web and web services. This, “serendipitous interoperability”, is hindered by the la...