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    NIPS
    2008
    148views Information Technology» more  NIPS 2008»
    The Infinite Hierarchical Factor Regression Model
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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
    14 years 29 days 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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