专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

41. 发明申请

US20100185567A1 SUPERVISION BASED GROUPING OF PATTERNS IN HIERARCHICAL TEMPORAL MEMORY (HTM) 有权
标题翻译：在分层时间记忆（HTM）中基于监督的模式分组
公开(公告)号：US20100185567A1
公开(公告)日：2010-07-22
申请号：US12355679
申请日：2009-01-16
申请人： James Niemasik , Dileep George
发明人： James Niemasik , Dileep George
IPC分类号： G06F15/18 , G06N5/04
CPC分类号： G06N3/08 , G06N99/005
摘要： A HTM network that uses supervision signals such as indexes for correct categories of the input patterns to group the co-occurrences detected in the node. In the training mode, the supervised learning node receives the supervision signals in addition to the indexes or distributions from children nodes. The supervision signal is then used to assign the co-occurrences into groups. The groups include unique groups and nonunique groups. The co-occurrences in the unique group appear only when the input data represent certain category but not others. The nonunique groups include patterns that are shared by one or more categories. In an inference mode, the supervised learning node generates distributions over the groups created in the training mode. A top node of the HTM network generates an output based on the distributions generated by the supervised learning node.
摘要翻译： HTM网络使用诸如索引的监控信号来输入模式的正确类别来对在节点中检测到的共同事件进行分组。在训练模式下，监督学习节点除儿童节点的索引或分布外还接收监控信号。然后监督信号用于将共同事件分配到组中。这些团体包括独特的团体和非独特团体。只有当输入数据代表特定类别而不是其他类别时，唯一组中的共同出现才会出现。不统一组包括由一个或多个类别共享的模式。在推理模式中，监督学习节点通过在训练模式中创建的组生成分布。 HTM网络的顶级节点根据监督学习节点生成的分布生成输出。

42. 发明授权

US07613675B2 Hierarchical computing modules for performing recognition using spatial distance and temporal sequences 有权
标题翻译：用于使用空间距离和时间序列执行识别的分层计算模块
公开(公告)号：US07613675B2
公开(公告)日：2009-11-03
申请号：US11622457
申请日：2007-01-11
申请人： Jeffrey Hawkins , Dileep George
发明人： Jeffrey Hawkins , Dileep George
IPC分类号： G06F15/18 , G06N3/00
CPC分类号： G06N3/08 , G06F15/18 , G06N3/04 , G06N3/0454 , G06N3/0472 , G06N3/049 , G06N5/02 , G06N7/005 , G06N99/005
摘要： A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. The hierarchy is further configured to associate a first pattern in the input data and a second pattern in the input data to a same possible cause of the input data.
摘要翻译：计算模块的层次结构被配置为学习在空间和时间上感测的输入数据的原因，并且还被配置为根据学习的原因确定新感测的输入数据的原因。层级还被配置为将输入数据中的第一模式和输入数据中的第二模式与输入数据的相同可能的原因相关联。

43. 发明授权

US07088693B2 Adaptive diversity combining for Wide Band Code Division Multiple Access (W-CDMA) based on iterative channel estimation 失效
标题翻译：基于迭代信道估计的宽带码分多址（W-CDMA）的自适应分集组合
公开(公告)号：US07088693B2
公开(公告)日：2006-08-08
申请号：US10973800
申请日：2004-10-27
申请人： Dileep George
发明人： Dileep George
IPC分类号： H04Q7/00
CPC分类号： H04B7/02 , H04B7/005
摘要： The present invention provides a method for adaptive diversity combining for Wide Band Code Division Multiple Access (W-CDMA) comprising: splitting multi-path interference into Iknown and Iunknown components, precomputing said Iknown interference components, iteratively estimating channel interference after removing Iknown components of the multi-path interference from the pilot symbols, using the convergence/divergence of the iteration as an indicator of the channel condition, and The instant invention also provides a system and configured computer program product for carrying out the above method.
摘要翻译：本发明提供了一种用于宽带码分多址（W-CDMA）的自适应分集组合的方法

44. 发明申请

US20050185701A1 Adaptive diversity combining for wide band code division multiple access (W-CDMA) based on iterative channel estimation 失效
标题翻译：基于迭代信道估计的宽带码分多址（W-CDMA）自适应分集组合
公开(公告)号：US20050185701A1
公开(公告)日：2005-08-25
申请号：US10973800
申请日：2004-10-27
申请人： Dileep George
发明人： Dileep George
IPC分类号： H04B7/005 , H04B7/02 , H04B1/707
CPC分类号： H04B7/02 , H04B7/005
摘要： The present invention provides a method for adaptive diversity combining for Wide Band Code Division Multiple Access (W-CDMA) comprising: splitting multi-path interference into Iknown and Iunknown components, precomputing said Iknown interference components, iteratively estimating channel interference after removing Iknown components of the multi-path interference from the pilot symbols, using the convergence/divergence of the iteration as an indicator of the channel condition, and selecting the combining technique (MRC or EGC) automatically depending on the channel condition. The instant invention also provides a system and configured computer program product for carrying out the above method.
摘要翻译：本发明提供了一种用于宽带码分多址（W-CDMA）的自适应分集组合的方法，包括：将多路径干扰分解成已知的和未知的组件预先计算所述已知的干扰分量，使用迭代的收敛/散度来迭代地估计来自导频符号的多径干扰的已知分量之后的信道干扰作为信道条件的指标，并根据信道条件自动选择组合技术（MRC或EGC）。本发明还提供一种用于执行上述方法的系统和配置的计算机程序产品。

45. 发明授权

US09530091B2 Methods, architecture, and apparatus for implementing machine intelligence and hierarchical memory systems 有权
公开(公告)号：US09530091B2
公开(公告)日：2016-12-27
申请号：US13438670
申请日：2012-04-03
申请人： Jeffrey Hawkins , Dileep George
发明人： Jeffrey Hawkins , Dileep George
IPC分类号： G06N7/00 , G06N3/02
CPC分类号： G06N3/02 , G06N7/005
摘要： Sophisticated memory systems and intelligent machines may be constructed by creating an active memory system with a hierarchical architecture. Specifically, a system may comprise a plurality of individual cortical processing units arranged into a hierarchical structure. Each individual cortical processing unit receives a sequence of patterns as input. Each cortical processing unit processes the received input sequence of patterns using a memory containing previously encountered sequences with structure and outputs another pattern. As several input sequences are processed by a cortical processing unit, it will therefore generate a sequence of patterns on its output. The sequence of patterns on its output may be passed as an input to one or more cortical processing units in next higher layer of the hierarchy. A lowest layer of cortical processing units may receive sensory input from the outside world. The sensory input also comprises a sequence of patterns.

46. 发明授权

US08666917B2 Sequence learning in a hierarchical temporal memory based system 有权
标题翻译：基于分层时间存储器的系统中的序列学习
公开(公告)号：US08666917B2
公开(公告)日：2014-03-04
申请号：US13604543
申请日：2012-09-05
申请人： Robert G. Jaros , Dileep George , Jeffrey Hawkins , Frank Astier
发明人： Robert G. Jaros , Dileep George , Jeffrey Hawkins , Frank Astier
IPC分类号： G06F15/18
CPC分类号： G06N3/08 , G06F15/18 , G06N3/04 , G06N3/0454 , G06N3/0472 , G06N3/049 , G06N5/02 , G06N7/005 , G06N99/005
摘要： A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. At least one of the computing modules has a sequence learner module configured to associate sequences of input data received by the computing module to a set of causes previously learned in the hierarchy.
摘要翻译：计算模块的层次结构被配置为学习在空间和时间上感测的输入数据的原因，并且还被配置为根据学习的原因确定新感测的输入数据的原因。计算模块中的至少一个具有序列学习器模块，其被配置为将由计算模块接收的输入数据的序列与先前在层次结构中学习的一组原因相关联。

47. 发明授权

US08175984B2 Action based learning 有权
标题翻译：基于行动的学习
公开(公告)号：US08175984B2
公开(公告)日：2012-05-08
申请号：US12315957
申请日：2008-12-05
申请人： Dileep George
发明人： Dileep George
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N3/049 , G06N3/08
摘要： A set of sequences of sensed input patterns associated with a set of actions is generated by performing at least a first action on data derived from a real-world system. A subset of the sequences of sensed input patterns that form a group associated with the first action is determined. A new sequence of sensed input patterns is received. A first value which indicates the probability that the new sequence of sensed input patterns is associated with the first action based on the subset of sequences of sensed input patterns is determined and stored in a memory associated with the computer system.
摘要翻译：通过对从真实世界系统导出的数据执行至少第一动作来生成与一组动作相关联的感测输入模式的一组序列。确定形成与第一动作相关联的组的感测输入模式的序列的子集。接收感测输入模式的新序列。指示基于感测输入模式的序列的子集的感测输入模式的新序列与第一动作相关联的概率的第一值被确定并存储在与计算机系统相关联的存储器中。

48. 发明授权

US07624085B2 Hierarchical based system for identifying object using spatial and temporal patterns 有权
标题翻译：基于分层的系统，用于使用空间和时间模式识别对象
公开(公告)号：US07624085B2
公开(公告)日：2009-11-24
申请号：US11622456
申请日：2007-01-11
申请人： Jeffrey Hawkins , Dileep George
发明人： Jeffrey Hawkins , Dileep George
IPC分类号： G06F9/44 , G06N7/00
CPC分类号： G06N3/08 , G06F15/18 , G06N3/04 , G06N3/0454 , G06N3/0472 , G06N3/049 , G06N5/02 , G06N7/005 , G06N99/005
摘要： A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. Further, the hierarchy has a first level of computing modules and a second level of at least one computing module, where at least one of the computing modules in the first level is configured to receive a portion of the novel sensed input data, and where the computing module in the first level is further capable of determining a possible cause of the novel sensed input data dependent on analyzing only a subset of the portion of the novel sensed input data.
摘要翻译：计算模块的层次结构被配置为学习在空间和时间上感测的输入数据的原因，并且还被配置为根据学习的原因确定新感测的输入数据的原因。此外，层次结构具有第一级的计算模块和至少一个计算模块的第二级，其中第一级中的至少一个计算模块被配置为接收新的感测输入数据的一部分，并且其中第一级的计算模块还能够依赖于仅分析新感测的输入数据的该部分的子集，来确定新的感测输入数据的可能原因。

49. 发明申请

US20080059389A1 SEQUENCE LEARNING IN A HIERARCHICAL TEMPORAL MEMORY BASED SYSTEM 有权
标题翻译：基于层次记忆的系统中的序列学习
公开(公告)号：US20080059389A1
公开(公告)日：2008-03-06
申请号：US11622454
申请日：2007-01-11
申请人： Robert Jaros , Dileep George , Jeffrey Hawkins , Frank Astier
发明人： Robert Jaros , Dileep George , Jeffrey Hawkins , Frank Astier
IPC分类号： G06F15/18
CPC分类号： G06N3/08 , G06F15/18 , G06N3/04 , G06N3/0454 , G06N3/0472 , G06N3/049 , G06N5/02 , G06N7/005 , G06N99/005
摘要： A hierarchy of computing modules is configured to learn a cause of input data sensed over space and time, and is further configured to determine a cause of novel sensed input data dependent on the learned cause. At least one of the computing modules has a sequence learner module configured to associate sequences of input data received by the computing module to a set of causes previously learned in the hierarchy.
摘要翻译：计算模块的层次结构被配置为学习在空间和时间上感测的输入数据的原因，并且还被配置为根据学习的原因确定新感测的输入数据的原因。计算模块中的至少一个具有序列学习器模块，其被配置为将由计算模块接收的输入数据的序列与先前在层次结构中学习的一组原因相关联。

50. 发明申请

US20070192271A1 BELIEF PROPAGATION IN A HIERARCHICAL TEMPORAL MEMORY BASED SYSTEM 有权
标题翻译：基于层次分析的基于时间记忆的系统中的相关传播
公开(公告)号：US20070192271A1
公开(公告)日：2007-08-16
申请号：US11622458
申请日：2007-01-11
申请人： Dileep George , Jeffrey Hawkins
发明人： Dileep George , Jeffrey Hawkins
IPC分类号： G06N7/02
CPC分类号： G06N3/08 , G06F15/18 , G06N3/04 , G06N3/0454 , G06N3/0472 , G06N3/049 , G06N5/02 , G06N7/005 , G06N99/005
摘要： A hierarchy of computing modules is configured to (i) learn a cause of input data sensed over space and time, and (ii) determine a cause of novel sensed input data dependent on the learned cause. The hierarchy has a first level of computing modules and a second level of at least one computing module, wherein a computing module in the first level is configured to output to the computing module in the second level a first set of values representing probabilities of possible causes of input data received by the system.
摘要翻译：计算模块的层次结构被配置为（i）学习在空间和时间上感测的输入数据的原因，以及（ii）根据学习的原因确定新感测的输入数据的原因。层次结构具有第一级计算模块和第二级别的至少一个计算模块，其中第一级中的计算模块被配置为在第二级中向计算模块输出表示可能原因的概率的第一组值的系统接收的输入数据。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式