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» Common Semantics for Use Cases and Task Models
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IDEAL
2009
Springer
15 years 11 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
148
Voted
NIPS
1993
15 years 6 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
ECIR
2007
Springer
15 years 6 months ago
Probabilistic Models for Expert Finding
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilis...
Hui Fang, ChengXiang Zhai
135
Voted
SAFECOMP
2007
Springer
15 years 10 months ago
Using Deductive Cause-Consequence Analysis (DCCA) with SCADE
Abstract. Esterel Technologies’ SCADE Suite is one of the most important development tools for software for safety-critical systems. It is used for designing many critical compon...
Matthias Güdemann, Frank Ortmeier, Wolfgang R...
ICSOC
2010
Springer
15 years 3 months ago
Service Discovery Using Communication Fingerprints
A request to a service registry must be answered with a service that fits in several regards, including semantic compatibility, non-functional compatibility, and interface compati...
Olivia Oanea, Jan Sürmeli, Karsten Wolf