Estimating Probabilities of Default for German Savings Banks and Credit Cooperatives

By Daniel Porath. Social Science Research Network, 2006

189 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/812878bbf75697b16b22edf6a86ebad43f47f360

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Citations in the corpus

Learning to detect unseen object classes by between-class attribute transfer (2009, methodology): “For their studies on attribute-based object similarity, Osherson and Wilkie [24] collected judgements from human subjects on the " relative strength of association " between 85 attributes and 48 animal classes.”
Augmented Attribute Representations (2012, methodology): “The dataset also contains semantic information in the form of an 85-dimensional Osherson’s [24] attribute vector for each animal class.”
Sharing features between objects and their attributes (2011, methodology): “To obtain this matrix, we use human subjects’ ratings collected in [18] about the relative strength of association between the 85 attributes and 50 objects in AWA.”
What helps where – and why? Semantic relatedness for knowledge transfer (2010, background): “In [19] human judgments of ten subjects [16, 23] are used as the basis of these associations.”
Learning Systems of Concepts with an Infinite Relational Model (2006, background): “Figure 3 shows that coherent clusters emerge when the IRM is applied to a 50 by 85 animal-feature matrix collected in a psychological experiment (Osherson et al. 1991).”
Statistical predicate invention (2007, background): “This dataset contains a set of animals and their features (Osherson et al., 1991).”
Monetary policy and financial (in)stability: An integrated micro-macro approach (2008, unknown): “7 For a more detailed description of model selection for Bundesbank data see Porath (2006), Koetter et al. (2007) and Kick and Koetter (2007).”
Label-Embedding for Attribute-Based Classification (2013, background): “Each class was annotated with 85 attributes by 10 students [24] and the result was binarized.”
A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects (2013, methodology): “We still use the inferences discussed in Equation 7 and 6 for attribute predictions in new class examples and the classification of new classes respectively.”