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    ML
    2007
    ACM
    144views Machine Learning» more  ML 2007»
    Invariant kernel functions for pattern analysis and machine learning
    14 years 9 months ago
    Invariant kernel functions for pattern analysis and machine learning
    Download  aam.mathematik.uni-freiburg.de
    In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
    Bernard Haasdonk, Hans Burkhardt
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    LREC
    2010
    144views Education» more  LREC 2010»
    Inferring Syntactic Rules for Word Alignment through Inductive Logic Programming
    14 years 11 months ago
    Inferring Syntactic Rules for Word Alignment through Inductive Logic Programming
    Download  www.lrec-conf.org
    This paper presents and evaluates an original approach to automatically align bitexts at the word level. It relies on a syntactic dependency analysis of the source and target text...
    Sylwia Ozdowska, Vincent Claveau
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    ICML
    1998
    IEEE
    202views Machine Learning» more  ICML 1998»
    Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
    15 years 1 months ago
    Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
    Download  www.cs.mcgill.ca
    We present and solve a real-world problem of learning to drive a bicycle. We solve the problem by online reinforcement learning using the Sarsa(   )-algorithm. Then we solve the ...
    Jette Randløv, Preben Alstrøm
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    VTS
    2006
    IEEE
    108views Hardware» more  VTS 2006»
    Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
    15 years 3 months ago
    Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
    Download  www.eng.yale.edu
    Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
    Haralampos-G. D. Stratigopoulos, Yiorgos Makris
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    JMLR
    2012
    255views Programming Languages» more  JMLR 2012»
    Learning Low-order Models for Enforcing High-order Statistics
    12 years 12 months ago
    Learning Low-order Models for Enforcing High-order Statistics
    Download  jmlr.csail.mit.edu
    Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
    Patrick Pletscher, Pushmeet Kohli
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