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    NIPS
    2004
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    Theories of Access Consciousness
    14 years 28 days ago
    Theories of Access Consciousness
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    Theories of access consciousness address how it is that some mental states but not others are available for evaluation, choice behavior, and verbal report. Farah, O'Reilly, a...
    Michael D. Colagrosso, Michael C. Mozer
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    NIPS
    2004
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    Modeling Conversational Dynamics as a Mixed-Memory Markov Process
    14 years 28 days ago
    Modeling Conversational Dynamics as a Mixed-Memory Markov Process
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    In this work, we quantitatively investigate the ways in which a given person influences the joint turn-taking behavior in a conversation. After collecting an auditory database of ...
    Tanzeem Choudhury, Sumit Basu
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    NIPS
    2004
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    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
    14 years 28 days ago
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods
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    We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
    Chakra Chennubhotla, Allan D. Jepson
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    NIPS
    2004
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    Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
    14 years 28 days ago
    Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
    Download  research.microsoft.com
    Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
    Kumar Chellapilla, Patrice Y. Simard
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    NIPS
    2004
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    A Machine Learning Approach to Conjoint Analysis
    14 years 28 days ago
    A Machine Learning Approach to Conjoint Analysis
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    Choice-based conjoint analysis builds models of consumer preferences over products with answers gathered in questionnaires. Our main goal is to bring tools from the machine learni...
    Olivier Chapelle, Zaïd Harchaoui
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    NIPS
    2004
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    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
    14 years 28 days ago
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation
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    An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an...
    Shantanu Chakrabartty, Gert Cauwenberghs
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    NIPS
    2004
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    Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
    14 years 28 days ago
    Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
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    We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
    Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
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    NIPS
    2004
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    Incremental Algorithms for Hierarchical Classification
    14 years 28 days ago
    Incremental Algorithms for Hierarchical Classification
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    We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
    Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
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    NIPS
    2004
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    Proximity Graphs for Clustering and Manifold Learning
    14 years 28 days ago
    Proximity Graphs for Clustering and Manifold Learning
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    Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
    Miguel Á. Carreira-Perpiñán, ...
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    NIPS
    2004
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    Dependent Gaussian Processes
    14 years 28 days ago
    Dependent Gaussian Processes
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    Gaussian processes are usually parameterised in terms of their covariance functions. However, this makes it difficult to deal with multiple outputs, because ensuring that the cova...
    Phillip Boyle, Marcus R. Frean
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