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NIPS
2004
15 years 5 months ago
Semi-supervised Learning via Gaussian Processes
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
Neil D. Lawrence, Michael I. Jordan
NIPS
2000
15 years 5 months ago
Mixtures of Gaussian Processes
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
Volker Tresp
CAISE
2008
Springer
15 years 5 months ago
A Tool for Process Merging in Business-Driven Development
Abstract. Business-driven development favors the construction of process modifferent abstraction levels and by different people. As a consequence, there is a demand for consolidati...
Jochen Malte Küster, Christian Gerth, Alexand...
125
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WCE
2007
15 years 4 months ago
An Approach on Micro-Cutting (Deburring) Process
— This paper presents an mathematical model that establishes the relation between the relevant cutting process parameters and surface quality, cutting forces and rate removal, in...
Catalin G. Dumitras
OTM
2007
Springer
15 years 9 months ago
Pattern-Based Design and Validation of Business Process Compliance
In this paper we present a novel approach for the modeling and implementation of Internal Controls in Business Processes. The approach is based on the formal modeling of Internal C...
Kioumars Namiri, Nenad Stojanovic