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    NIPS
    2003
    93views Information Technology» more  NIPS 2003»
    Learning the k in k-means
    13 years 6 months ago
    Learning the k in k-means
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    When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
    Greg Hamerly, Charles Elkan
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    NIPS
    2003
    167views Information Technology» more  NIPS 2003»
    Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence
    13 years 6 months ago
    Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence
    Download  www.cs.huji.ac.il
    The problem of “Structure From Motion” is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of ...
    Amit Gruber, Yair Weiss
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    NIPS
    2003
    139views Information Technology» more  NIPS 2003»
    Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory
    13 years 6 months ago
    Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory
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    Dopamine exerts two classes of effect on the sustained neural activity in prefrontal cortex that underlies working memory. Direct release in the cortex increases the contrast of p...
    Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sar...
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    NIPS
    2003
    115views Information Technology» more  NIPS 2003»
    From Algorithmic to Subjective Randomness
    13 years 6 months ago
    From Algorithmic to Subjective Randomness
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    We explore the phenomena of subjective randomness as a case study in understanding how people discover structure embedded in noise. We present a rational account of randomness per...
    Thomas L. Griffiths, Joshua B. Tenenbaum
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    NIPS
    2003
    107views Information Technology» more  NIPS 2003»
    Insights from Machine Learning Applied to Human Visual Classification
    13 years 6 months ago
    Insights from Machine Learning Applied to Human Visual Classification
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    Arnulf B. A. Graf, Felix A. Wichmann
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    NIPS
    2003
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    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
    13 years 6 months ago
    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
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    Mark Girolami, Ata Kabán
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    NIPS
    2003
    151views Information Technology» more  NIPS 2003»
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
    13 years 6 months ago
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
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    New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
    Claudio Gentile
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    NIPS
    2003
    158views Information Technology» more  NIPS 2003»
    Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
    13 years 6 months ago
    Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
    Download  www.soi.city.ac.uk
    We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
    Artur S. d'Avila Garcez, Luís C. Lamb
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    NIPS
    2003
    151views Information Technology» more  NIPS 2003»
    Kernel Dimensionality Reduction for Supervised Learning
    13 years 6 months ago
    Kernel Dimensionality Reduction for Supervised Learning
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    We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
    Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
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    NIPS
    2003
    156views Information Technology» more  NIPS 2003»
    Clustering with the Connectivity Kernel
    13 years 6 months ago
    Clustering with the Connectivity Kernel
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    Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
    Bernd Fischer, Volker Roth, Joachim M. Buhmann
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