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    EACL
    1993
    ACL Anthology
    88views Natural Language Processing» more  EACL 1993»
    A Strategy for Dynamic Interpretation: a Fragment and an Implementation
    13 years 8 months ago
    A Strategy for Dynamic Interpretation: a Fragment and an Implementation
    Download  acl.ldc.upenn.edu
    The strategy for natural language interpretation presented in this paper implements the dynamics of context change by translating natural language texts into a meaning representat...
    Olivier Bouchez, Jan van Eijck, Olivier Istace
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    ISRR
    2005
    Springer
    178views Robotics» more  ISRR 2005»
    Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
    14 years 29 days ago
    Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
    Download  sun-valley.stanford.edu
    A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
    Aaron Plotnik, Stephen Rock
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    IJCNN
    2007
    IEEE
    89views Neural Networks» more  IJCNN 2007»
    Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression
    14 years 1 months ago
    Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression
    Download  www.lsi.upc.edu
    — This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
    Ignacio Barrio, Enrique Romero, Lluís Belan...
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    CSB
    2005
    IEEE
    189views Bioinformatics» more  CSB 2005»
    Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
    14 years 1 months ago
    Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
    Download  conferences.computer.org
    We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
    Xutao Deng, Huimin Geng, Hesham H. Ali
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    FLAIRS
    2006
    144views Artificial Intelligence» more  FLAIRS 2006»
    Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
    13 years 8 months ago
    Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
    Download  www.aaai.org
    A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
    Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
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