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1.发明申请公开(公告)号：US20070239635A1
公开(公告)日：2007-10-11
申请号：US11732807
申请日：2007-04-04
IPC分类号： G06N3/02
CPC分类号： G06N3/02
摘要： An information processing apparatus includes a storage unit configured to store a node holding dynamics; an input-weight-coefficient adjuster configured to adjust input-weight coefficients on a dimension-by-dimension basis, the input-weight coefficients being weight coefficients for individual dimensions of input data input to input units of the node, the input data being observed time-series data having a plurality of dimensions; and an output-weight-coefficient adjuster configured to adjust output-weight coefficients on a dimension-by-dimension basis, the output-weight coefficients being weight coefficients for individual dimensions of output data having a plurality of dimensions and output from output units of the node.
摘要翻译： 一种信息处理装置，包括：存储单元，被配置为存储保存动态的节点; 输入权重系数调整器，其被配置为在逐个维度的基础上调整输入权重系数，输入权重系数是输入到节点的输入单元的输入数据的各个维度的权重系数，观察到的输入数据 具有多个维度的时间序列数据; 以及输出权重系数调整器，其被配置为在逐个维度的基础上调整输出权重系数，所述输出权重系数是具有多个维度的输出数据的各个维度的权重系数，并且从所述输出单元的输出单元输出 节点。
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2.发明授权公开(公告)号：US07840508B2
公开(公告)日：2010-11-23
申请号：US11732807
申请日：2007-04-04
CPC分类号： G06N3/02
摘要： An information processing apparatus includes a storage unit configured to store a node holding dynamics; an input-weight-coefficient adjuster configured to adjust input-weight coefficients on a dimension-by-dimension basis, the input-weight coefficients being weight coefficients for individual dimensions of input data input to input units of the node, the input data being observed time-series data having a plurality of dimensions; and an output-weight-coefficient adjuster configured to adjust output-weight coefficients on a dimension-by-dimension basis, the output-weight coefficients being weight coefficients for individual dimensions of output data having a plurality of dimensions and output from output units of the node.
摘要翻译： 一种信息处理装置，包括：存储单元，被配置为存储保存动态的节点; 输入权重系数调整器，其被配置为在逐个维度的基础上调整输入权重系数，输入权重系数是输入到节点的输入单元的输入数据的各个维度的权重系数，观察到的输入数据 具有多个维度的时间序列数据; 以及输出权重系数调整器，其被配置为在逐个维度的基础上调整输出权重系数，所述输出权重系数是具有多个维度的输出数据的各个维度的权重系数，并且从所述输出单元的输出单元输出 节点。
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3.发明授权Apparatus and method for embedding recurrent neural networks into the nodes of a self-organizing map 有权将循环神经网络嵌入到自组织图的节点中的装置和方法公开(公告)号：US07672920B2
公开(公告)日：2010-03-02
申请号：US11699428
申请日：2007-01-30
IPC分类号： G06N5/00
CPC分类号： G06K9/00536 , G06K9/00335 , G06N3/0445 , G06N99/005
摘要： A learning system is provided, which includes network storage means for storing a network including a plurality of nodes, each of which holds a dynamics; and learning means for self-organizationally updating the dynamics of the network on the basis of measured time-series data.
摘要翻译： 提供了一种学习系统，其包括用于存储包括多个节点的网络的网络存储装置，每个节点保持动态; 以及基于测量的时间序列数据自组织地更新网络动态的学习手段。
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公开(公告)号：US20070239644A1
公开(公告)日：2007-10-11
申请号：US11732773
申请日：2007-04-04
IPC分类号： G06N3/00
CPC分类号： G06N99/005 , G06N3/0445 , G06N3/0454 , G06N3/084
摘要： A learning apparatus includes a storage unit configured to store a network formed by a plurality of nodes each holding dynamics; a learning unit configured to learn the dynamics of the network in a self-organizing manner on the basis of observed time-series data; a winner-node determiner configured to determine a winner node, the winner node being a node having dynamics that best match the time-series data; and a weight determiner configured to determine learning weights for the dynamics held by the individual nodes according to distances of the individual nodes from the winner node. The learning unit is configured to learn the dynamics of the network in a self-organizing manner by degrees corresponding to the learning weights.
摘要翻译： 学习装置包括：存储单元，被配置为存储由保持动态的多个节点形成的网络; 学习单元，被配置为基于观察到的时间序列数据以自组织的方式学习网络的动态; 获胜者节点确定器，被配置为确定胜者节点，胜者节点是具有与时间序列数据最佳匹配的动态的节点; 以及权重确定器，被配置为根据各个节点与胜利者节点的距离来确定由各个节点保持的动态的学习权重。 学习单元被配置为以自组织的方式以对应于学习权重的度学习网络的动态。
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5.发明授权Learning apparatus, learning method, and program for efficiently learning dynamics 失效学习机器，学习方法和有效学习动态的程序公开(公告)号：US07953683B2
公开(公告)日：2011-05-31
申请号：US11732773
申请日：2007-04-04
CPC分类号： G06N99/005 , G06N3/0445 , G06N3/0454 , G06N3/084
摘要： A learning apparatus includes a storage unit configured to store a network formed by a plurality of nodes each holding dynamics; a learning unit configured to learn the dynamics of the network in a self-organizing manner on the basis of observed time-series data; a winner-node determiner configured to determine a winner node, the winner node being a node having dynamics that best match the time-series data; and a weight determiner configured to determine learning weights for the dynamics held by the individual nodes according to distances of the individual nodes from the winner node. The learning unit is configured to learn the dynamics of the network in a self-organizing manner by degrees corresponding to the learning weights.
摘要翻译： 学习装置包括：存储单元，被配置为存储由保持动态的多个节点形成的网络; 学习单元，被配置为基于观察到的时间序列数据以自组织的方式学习网络的动态; 获胜者节点确定器，被配置为确定胜者节点，胜者节点是具有与时间序列数据最佳匹配的动态的节点; 以及权重确定器，被配置为根据各个节点与胜利者节点的距离来确定由各个节点保持的动态的学习权重。 学习单元被配置为以自组织的方式以对应于学习权重的度学习网络的动态。
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6.发明申请Learning system and method, recognition device and method, creation device and method, recognition and creation device and method, and program 有权学习系统与方法，识别装置及方法，创作装置及方法，识别与创作装置及方法及程序公开(公告)号：US20070185825A1
公开(公告)日：2007-08-09
申请号：US11699428
申请日：2007-01-30
IPC分类号： G06N3/00
CPC分类号： G06K9/00536 , G06K9/00335 , G06N3/0445 , G06N99/005
摘要： A learning system is provided, which includes network storage means for storing a network including a plurality of nodes, each of which holds a dynamics; and learning means for self-organizationally updating the dynamics of the network on the basis of measured time-series data.
摘要翻译： 提供了一种学习系统，其包括用于存储包括多个节点的网络的网络存储装置，每个节点保持动态; 以及基于测量的时间序列数据自组织地更新网络动态的学习手段。
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7.发明申请Information processing apparatus, information processing method, and computer program 有权信息处理装置，信息处理方法和计算机程序公开(公告)号：US20090234467A1
公开(公告)日：2009-09-17
申请号：US12381499
申请日：2009-03-12
CPC分类号： G05B19/045 , G05B13/0265 , G05B2219/23288 , G06N99/005
摘要： An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.
摘要翻译： 信息处理装置包括：用于自组织的模型学习装置，基于具有通过使用时间序列数据作为时间序列数据而被学习的状态和状态转变的状态转换模型，从获得的观察信号获得的内部状态 通过传感器; 以及控制器学习装置，用于在指示由模型学习装置自组织的内部状态的状态转换模型中执行学习以分配向控制器输出动作的状态或转换目的地状态中的每一个的转换。
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8.发明授权Information processing apparatus, information processing method, and computer program 有权信息处理装置，信息处理方法和计算机程序公开(公告)号：US08290885B2
公开(公告)日：2012-10-16
申请号：US12381499
申请日：2009-03-12
CPC分类号： G05B19/045 , G05B13/0265 , G05B2219/23288 , G06N99/005
摘要： An information processing apparatus includes: model learning means for self-organizing, on the basis of a state transition model having a state and state transition to be learned by using time series data as data in time series, an internal state from an observation signal obtained by a sensor; and controller learning means for performing learning for allocating a controller, which outputs an action, to each of transitions of a state or each of transition destination states in the state transition model indicating the internal state self-organized by the model learning means.
摘要翻译： 信息处理装置包括：用于自组织的模型学习装置，基于具有通过使用时间序列数据作为时间序列数据而被学习的状态和状态转变的状态转换模型，从获得的观察信号获得的内部状态 通过传感器; 以及控制器学习装置，用于在指示由模型学习装置自组织的内部状态的状态转换模型中执行学习以分配向控制器输出动作的状态或转换目的地状态中的每一个的转换。
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9.发明授权Robot apparatus, method and device for recognition of letters or characters, control program and recording medium 失效用于识别字母或字符的机器人装置，方法和装置，控制程序和记录介质公开(公告)号：US07088853B2
公开(公告)日：2006-08-08
申请号：US10336201
申请日：2002-12-31
申请人： Atsuo Hiroe , Katsuki Minamino , Kenta Kawamoto , Kohtaro Sabe , Takeshi Ohashi
发明人： Atsuo Hiroe , Katsuki Minamino , Kenta Kawamoto , Kohtaro Sabe , Takeshi Ohashi
CPC分类号： G10L13/047 , G10L13/00 , G10L15/06 , G10L15/24 , G10L2015/0631
摘要： A plural number of letters or characters, inferred from the results of letter/character recognition of an image photographed by a CCD camera (20), a plural number of kana readings inferred from the letters or characters and the way of pronunciation corresponding to the kana readings are generated in an pronunciation information generating unit (150) and the plural readings obtained are matched to the pronunciation from the user acquired by a microphone (23) to specify one kana reading and the way of pronunciation (reading) from among the plural generated candidates.
摘要翻译： 从由CCD照相机（20）拍摄的图像的字母/字符识别的结果推断的多个字母或字符，从字母或字符推断的多个假名读数和对应于假名的发音方式 在发音信息生成单元（150）中产生读数，并且所获得的多个读数与由麦克风（23）获取的用户的发音相匹配，以从多个生成的多个生成单元中指定一个假名读数和发音（读取）的方式 候选人。
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10.发明授权Man-machine interface unit control method, robot apparatus, and its action control method 有权人机界面单元控制方法，机器人装置及其动作控制方法公开(公告)号：US06862497B2
公开(公告)日：2005-03-01
申请号：US10343525
申请日：2002-06-03
申请人： Thomas Kemp , Ralf Kompe , Raquel Tato , Masahiro Fujita , Katsuki Minamino , Kenta Kawamoto , Rika Horinaka
发明人： Thomas Kemp , Ralf Kompe , Raquel Tato , Masahiro Fujita , Katsuki Minamino , Kenta Kawamoto , Rika Horinaka
IPC分类号： B62D57/02 , B62D57/032 , G05B13/02 , G05B19/042 , G05B15/00 , G05B19/33
CPC分类号： G05B19/042 , B62D57/02 , B62D57/032 , G05B13/0265
摘要： There is proposed a method that may be universally used for controlling a man-machine interface unit. A learning sample is used in order at least to derive and/or initialize a target action (t) to be carried out and to lead the user from an optional current status (ec) to an optional desired target status (et) as the final status (ef). This learning sample (l) is formed by a data triple made up by an initial status (ei) before an optional action (a) carried out by the user, a final status (ef) after the action taken place (a).
摘要翻译： 提出了可以普遍地用于控制人机接口单元的方法。 至少使用学习样本来导出和/或初始化要执行的目标动作（t），并且将用户从可选的当前状态（ec）引导到可选的期望目标状态（et），作为最终的 状态（ef）。 该学习样本（l）由在用户执行的可选动作（a）之前由初始状态（ei）组成的数据三进制形成，（a）动作之后的最终状态（ef）。
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