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Neural Decision Forests for Semantic Image Labelling
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014In this work we present Neural Decision Forests, a novel approach to jointly tackle data representation- and discriminative learning within randomized decision trees. Recent advances of deep learning architectures demonstrate the power of embedding representation learning within the classifier--An idea that is intuitively supported by the hierarchical ...
Samuel Rota Bulò, Peter Kontschieder
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Towards Using Semantic Decision Tables for Organizing Data Semantics
2010In the ITEA2 Do-It-Yourself Smart Experiences project (DIY-SE), we are required to design an ontology-based ambient computing environment to support users to DIY their personalized solutions. In this paper, we illustrate how to manage data semantics using Semantic Decision Table (SDT).
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The Role of Decision Biases in Semantic Priming Effects
Swiss Journal of Psychology, 2005At least a part of semantic priming effects observed in binary decision tasks is supposed to be caused by decision biases. A semantic relationship between prime and target could positively bias a “yes” response, whereas the absence of a relationship would instead favour a “no” response to the same target.
Duscherer, Katia, Holender, Daniel
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Lexical decision and aphasia: Evidence for semantic processing
Brain and Language, 1981Abstract Wernicke's and Broca's-Conduction aphasics and a Global aphasic were presented with a lexical-decision task in which English words and pronounceable nonwords were preceded by semantically related, unrelated, or nonword primes. The patients were also given a simple semantic-judgment task using the word pairs from the lexical-decision task ...
W, Milberg, S E, Blumstein
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2009
Researchers have been investigating the study of decision tables for more than fifty years. As an important tool to support Information System Management, decision tables have many outstanding advantages, i.e. they are easily learned, readable and understandable by non-technical people.
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Researchers have been investigating the study of decision tables for more than fifty years. As an important tool to support Information System Management, decision tables have many outstanding advantages, i.e. they are easily learned, readable and understandable by non-technical people.
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Towards Semantic Search for Improved Decision-Making
2012Search applications empower users by simple and quick access to information. However, there is also a significant amount of multi-query sessions originating from a necessity to make a decision, for instance, decide which place to visit. Consequently, the ultimate value of the information provided by a search engine is directly related to the quality of
Darijus Strasunskas, Stein L. Tomassen
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Semantic web for net-enabled decision making
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web, 2008The paper introduces a Semantic Web approach for net-enabled decision making. The Semantic Web ontology language OWL-DL is used to specify the vocabulary and relationships linking situational and decision making semantics for the decision domain. The knowledge is stored as an ontology library of templates where each template is a parameterized causal ...
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Semantic Complex Event Processing for Decision Support
2014An increasing amount of information is being made available as online streams, and streams are expected to grow in importance in a variety of domains in the coming years (e.g., natural disaster response, surveillance, monitoring of criminal activity, and military planning [7,22]).
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Semantic satiation and decision latency.
Journal of Experimental Psychology, 1964openaire +2 more sources
Semantic Decision Tables and Other Tools for Business Semantics
2010a learning ...
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