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    NIPS
    2008
    148views Information Technology» more  NIPS 2008»
    The Infinite Hierarchical Factor Regression Model
    13 years 6 months ago
    The Infinite Hierarchical Factor Regression Model
    Download  www.cs.utah.edu
    We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
    Piyush Rai, Hal Daumé III
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    NIPS
    2008
    163views Information Technology» more  NIPS 2008»
    Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
    13 years 6 months ago
    Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
    Download  www.cs.huji.ac.il
    Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
    Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
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    NIPS
    2008
    157views Information Technology» more  NIPS 2008»
    Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
    13 years 6 months ago
    Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
    Download  www.research.yahoo.com
    Multi-level hierarchical models provide an attractive framework for incorporating correlations induced in a response variable organized in a hierarchy. Model fitting is challengin...
    Liang Zhang, Deepak Agarwal
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    NIPS
    2008
    143views Information Technology» more  NIPS 2008»
    Integrating Locally Learned Causal Structures with Overlapping Variables
    13 years 6 months ago
    Integrating Locally Learned Causal Structures with Overlapping Variables
    Download  www.andrew.cmu.edu
    In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
    Robert E. Tillman, David Danks, Clark Glymour
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    NIPS
    2008
    133views Information Technology» more  NIPS 2008»
    Fast Prediction on a Tree
    13 years 6 months ago
    Fast Prediction on a Tree
    Download  www.cs.ucl.ac.uk
    Given an n-vertex weighted tree with structural diameter S and a subset of m vertices, we present a technique to compute a corresponding m
    Mark Herbster, Massimiliano Pontil, Sergio Rojas G...
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    NIPS
    2008
    162views Information Technology» more  NIPS 2008»
    Nonlinear causal discovery with additive noise models
    13 years 6 months ago
    Nonlinear causal discovery with additive noise models
    Download  eprints.pascal-network.org
    The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models with additiv...
    Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, ...
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    NIPS
    2008
    154views Information Technology» more  NIPS 2008»
    Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
    13 years 6 months ago
    Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
    Download  www.cs.cmu.edu
    We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
    Shay B. Cohen, Kevin Gimpel, Noah A. Smith
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    NIPS
    2008
    133views Information Technology» more  NIPS 2008»
    Robust Kernel Principal Component Analysis
    13 years 6 months ago
    Robust Kernel Principal Component Analysis
    Download  www.ri.cmu.edu
    Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
    Minh Hoai Nguyen, Fernando De la Torre
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    NIPS
    2008
    126views Information Technology» more  NIPS 2008»
    Inferring rankings under constrained sensing
    13 years 6 months ago
    Inferring rankings under constrained sensing
    Download  web.mit.edu
    Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
    Srikanth Jagabathula, Devavrat Shah
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    NIPS
    2008
    173views Information Technology» more  NIPS 2008»
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
    13 years 6 months ago
    On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
    Download  books.nips.cc
    In this theoretical contribution we provide mathematical proof that two of the most important classes of network learning - correlation-based differential Hebbian learning and rew...
    Christoph Kolodziejski, Bernd Porr, Minija Tamosiu...
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