Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"probabilistic learning"”.
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Probabilistic Learning of Indexed Families under Monotonicity Constraints: Hierarchy Results and Complexity Aspects
… inductive inference. We investigate a class of probabilistic inductive inference models, namely probabilistic inductive inference of indexed families under <br>monotonicity constraints. All these inference models are based <br>on the inductive inference model introduced by Gold. We <br>discuss …
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Probabilistic Inference: Theory and Practice (Learning, Inductive, Logic, Synthesis)
… thesis presents a system and a methodology for probabilistic learning from examples.
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Essays on Price Dynamics and Market Selection
… characterization enables a comparison between probabilistic learning and price evolution, revealing that prices incorporate "sparse" information efficiently. Results on wealth-share are obtained by comparing traders' optimal investment-consumption plans against their prices. This novel approach …
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Association between Reward Sensitivity and Smoking Status in Major Depressive Disorder
… mechanisms by which nicotine influences the learning process is poorly understood. Here, we use a probabilistic learning task, functional magnetic resonance imaging and neurocomputational analyses, to show that chronic smoking is associated with higher reward sensitivity, along with lower …
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Syntactic learning from ambiguous evidence : errors and end-states
… in first language acquisition by using a probabilistic learner for setting syntactic parameters. As ambiguous evidence is input to the learner that is compatible with multiple grammars or hypotheses, it poses learnability and acquisition challenges because it underdetermines the correct …
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Effects of positive evidence, indirect negative evidence and form-function transparency on second language acquisition: Evidence from L2 Chinese and L2 Thai
… outcome since some learners may be able to use a probabilistic learning strategy to successfully acquire L2 knowledge even when positive evidence is unavailable.
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An electronic model for determining value and predicting sale price of Holstein cattle sold at public auction
… analysis. The cluster component of a machine learning program, PLS (Probabilistic Learning System), was used to develop the model. The machine learning program generated a decision tree by repeatedly dividing the examples into subsets of increasingly similar examples. Multiple linear …
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The acquisition of complex wh- questions in the L2 English of Canadian French and Bulgarian speakers: Medial wh-constructions, inversion phenomena, and avoidance strategies
… learners to make extensive use of a general probabilistic learning mechanism; this mechanism helps them to gradually eliminate the competing representations unsupported by the L2 input and to converge with the grammatical target. This approach is in principle applicable to both L1 and L2 …
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The role of Prediction Error in Probabilistic Associative Learning
This thesis focuses on probabilistic associative learning. One of the classic effects in this field is the stimulus associability effect for which I derive a statistically optimal inference model and a corresponding approximation that addresses a number of problems with the original account of …