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Showing 1 to 9 of 9 for “"probabilistic learning"”.

  1. 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 …

    freiburg-diss Repository record for Probabilistic Learning of Indexed Families under Monotonicity Constraints: Hierarchy Results and Complexity Aspects (opens in a new tab)

  2. Probabilistic Inference: Theory and Practice (Learning, Inductive, Logic, Synthesis)

    … thesis presents a system and a methodology for probabilistic learning from examples.

    uiuc Repository record for Probabilistic Inference: Theory and Practice (Learning, Inductive, Logic, Synthesis) (opens in a new tab)

  3. 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 …

    wustl Repository record for Essays on Price Dynamics and Market Selection (opens in a new tab)

  4. 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 …

    vt Repository record for Association between Reward Sensitivity and Smoking Status in Major Depressive Disorder (opens in a new tab)

  5. 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 …

    mit Repository record for Syntactic learning from ambiguous evidence : errors and end-states (opens in a new tab)

  6. 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 …

    uiuc Repository record for An electronic model for determining value and predicting sale price of Holstein cattle sold at public auction (opens in a new tab)

  7. 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 …

    ottawa-retro Repository record for The acquisition of complex wh- questions in the L2 English of Canadian French and Bulgarian speakers: Medial wh-constructions, inversion phenomena, and avoidance strategies (opens in a new tab)

  8. 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 …

    cambridge Repository record for The role of Prediction Error in Probabilistic Associative Learning (opens in a new tab)