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    NIPS
    2001
    174views Information Technology» more  NIPS 2001»
    K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
    14 years 11 months ago
    K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
    Download  books.nips.cc
    Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
    Pascal Vincent, Yoshua Bengio
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    SDM
    2004
    SIAM
    207views Data Mining» more  SDM 2004»
    BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
    14 years 11 months ago
    BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
    Download  glaros.dtc.umn.edu
    Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
    Jianyong Wang, George Karypis
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    UAI
    2004
    127views Artificial Intelligence» more  UAI 2004»
    Active Model Selection
    14 years 11 months ago
    Active Model Selection
    Download  www.ualberta.ca
    Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
    Omid Madani, Daniel J. Lizotte, Russell Greiner
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    NIPS
    2003
    170views Information Technology» more  NIPS 2003»
    Minimax Embeddings
    14 years 11 months ago
    Minimax Embeddings
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    Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
    Matthew Brand
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    NIPS
    2003
    139views Information Technology» more  NIPS 2003»
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    14 years 11 months ago
    Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
    Download  pillowlab.cps.utexas.edu
    Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
    Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
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