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    NIPS
    1997
    94views Information Technology» more  NIPS 1997»
    Reinforcement Learning with Hierarchies of Machines
    13 years 7 months ago
    Reinforcement Learning with Hierarchies of Machines
    Download  www.cs.berkeley.edu
    We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
    Ronald Parr, Stuart J. Russell
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    NIPS
    1997
    118views Information Technology» more  NIPS 1997»
    Nonlinear Markov Networks for Continuous Variables
    13 years 7 months ago
    Nonlinear Markov Networks for Continuous Variables
    Download  wwwbrauer.informatik.tu-muenchen.de
    We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
    Reimar Hofmann, Volker Tresp
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    NIPS
    1997
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    Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
    13 years 7 months ago
    Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
    Download  www.mmk.e-technik.tu-muenchen.de
    In thispaper, we present a novelhybridarchitecture forcontinuousspeech recognition systems. It consists of a continuous HMM system extended by an arbitrary neural network that is ...
    Daniel Willett, Gerhard Rigoll
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    NIPS
    1997
    67views Information Technology» more  NIPS 1997»
    Using Expectation to Guide Processing: A Study of Three Real-World Applications
    13 years 7 months ago
    Using Expectation to Guide Processing: A Study of Three Real-World Applications
    Download  labs.rightnow.com
    In many real world tasks, only a small fraction of the available inputs are important at any particular time. This paper presents a method for ascertaining the relevance of inputs...
    Shumeet Baluja
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    NIPS
    1997
    91views Information Technology» more  NIPS 1997»
    A Neural Network Based Head Tracking System
    13 years 7 months ago
    A Neural Network Based Head Tracking System
    Download  hebb.mit.edu
    We have constructed an inexpensive, video-based, motorized tracking system that learns to track a head. It uses real time graphical user inputs or an auxiliary infrared detector a...
    Daniel D. Lee, H. Sebastian Seung
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