Results 11 to 20 of about 70 (69)
Statistical discrimination in learning agents
CoRR, 2021 29 pages, 10 ...
Edgar A. Duéñez-Guzmán +11 more
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DiscWord: Learning Discriminative Topics [PDF]
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 Topic modeling is a popular research topic and is widely used in text mining based applications. Many researchers realize that the learned topics in the LDA model, each as a multinomial distribution on the word vocabulary space, are often not intuitive in term of human recognition and communication.
Yu Jiang, Xian Li, Weiyi Meng
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The nature of discrimination learning in pigeons [PDF]
Learning & Behavior, 2008 The results from five experiments are considered in relation to two of Spence's (1937, 1938) proposals concerning discrimination learning. In Experiments 1 and 2, we investigated whether his ideas about the interaction between excitatory and inhibitory generalization gradients can be used to understand how animals solve a complex patterning ...
George, D. N. +6 more
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Holeboard discrimination learning in mice [PDF]
Genes, Brain and Behavior, 2005 We have adapted to mice a holeboard‐learning task, which allows simultaneous assessment of spatial working and reference‐memory performance. The holeboard apparatus consists of an open‐field chamber with a 16‐hole floor insert. Across trials, animals have to learn that the same four holes of 16 are always baited.
K A, Kuc +3 more
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Discrimination Learning in Dairy Calves
Journal of Dairy Science, 1971 Abstract Twenty-four 3 to 6 month old Holstein-Friesian heifer calves were tested in a modified Y-maze to determine if they were capable of discrimination learning. The discriminations to be learned were brightness (black versus white) and size (large versus small).
R G, Schaeffer, J D, Sikes
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Discriminating to learn to discriminate
, 1997 Experiments in which subjects play simultaneously several finite prisoner's dilemma supergames reveal that many hypotheses used in the literature to explain cooperation are wrong. In particular the existence of player types is rejected as well as over-simplified behavioural postulates which allow for the existence of agents who make consistent errors ...
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Discrimination Learning and Inhibition [PDF]
Science, 1967 J A, Deutsch, H S, Terrace
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Discriminant Learning Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008Linear discriminant analysis (LDA) as a dimension reduction method is widely used in classification such as face recognition. However, it suffers from the small sample size (SSS) problem when data dimensionality is greater than the sample size, as in images where features are high dimensional and correlated. In this paper, we propose to address the SSS
Jing Peng 0001 +2 more
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DISCRIMINATION LEARNING AND DISCRIMINATION LEARNING SETS IN SUBNORMAL CHILDREN*
British Journal of Educational Psychology, 1967S ummary . The aim of the enquiry was to establish whether subnormal children have more difficulty than normals of comparable mental age in learning a visual discrimination and in forming a discrimination set.
E A, Lunzer, I, Hulme
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Science, 1959
Eight rats were run through discrimination training sessions in which responses in the dark were not reinforced whereas the first response after the onset of a light was reinforced. The procedure generated orderly learning and latency data for the individual animal. The latency distributions are adequately described by a simple mathematical formulation.
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Eight rats were run through discrimination training sessions in which responses in the dark were not reinforced whereas the first response after the onset of a light was reinforced. The procedure generated orderly learning and latency data for the individual animal. The latency distributions are adequately described by a simple mathematical formulation.
openaire +2 more sources