公开(公告)号：US20110126245A1

公开(公告)日：2011-05-26

申请号：US12624111

申请日：2009-11-23

申请人： Yih-Farn Chen ,  Rittwik Jana ,  Daniel L. Stern ,  Hailong Sun ,  Bin Wei ,  Ping-Fai Yang

发明人： Yih-Farn Chen ,  Rittwik Jana ,  Daniel L. Stern ,  Hailong Sun ,  Bin Wei ,  Ping-Fai Yang

IPC分类号： H04N7/173

CPC分类号： H04N21/812 ,  H04N21/2181 ,  H04N21/2225 ,  H04N21/2385 ,  H04N21/2668 ,  H04N21/4334 ,  H04N21/47202 ,  H04N21/632 ,  H04N21/64322

摘要： A video-on-demand (VOD) server in an Internet protocol television (IPTV) network with a network of set-top boxes includes IPTV operational data and an analysis module that selects a content item. The VOD server divides the content item into sequential chunks, divides the chunks into stripes, pre-populates set-top boxes in a peering network with at least one stripe from each chunk, receives a request for the content item, and directs each set-top box to sequentially stream its stripes. A method includes selecting a content item based upon IPTV operational data, dividing the content item into sequential chunks, dividing the chunks into stripes, pre-populating set-top boxes in a peering network with at least one stripe from each chunk, receiving a request for the content item, and directing each set-top box to sequentially stream its stripes.

摘要翻译： 具有机顶盒网络的因特网协议电视（IPTV）网络中的视频点播（VOD）服务器包括IPTV操作数据和选择内容项的分析模块。 VOD服务器将内容项划分为顺序块，将块划分成条带，在对等网络中预先填充机顶盒，每个块中至少有一个条带，接收对内容项的请求，并指示每个集合 - 顶部框以顺序流式传输其条纹。 一种方法包括：基于IPTV操作数据选择内容项，将内容分为顺序块，将块划分成条带，在对等网络中预先填充来自每个块的至少一个条带的机顶盒，接收请求 并且指示每个机顶盒顺序地流出其条带。

公开(公告)号：US06523017B1

公开(公告)日：2003-02-18

申请号：US09563506

申请日：2000-05-03

申请人： David D. Lewis ,  Amitabh Kumar Singhal ,  Daniel L. Stern

发明人： David D. Lewis ,  Amitabh Kumar Singhal ,  Daniel L. Stern

IPC分类号： G06F1518

CPC分类号： G06N99/005

摘要： A method and apparatus for communicating accumulated state information between internal and external tasks in a supervised learning system. A supervised learning system encodes state information for a hypothetical learning task on initialization. This hypothetical learning task state information indicates that no training instances have been received. During the supervised learning, training instances are presented to the supervised learner. The training instances are encoded with feature vector and target value information. For each task name paired with a non-default target value, the learner initializes a new learning task by copying the hypothetical learning task state representation for use as the state representation for the new learning task. Predictors are then produced for all learning tasks, except the hypothetical learning task. The new training instance is used to update all learning tasks as specified in the target vector. The new training instance is then used.to update the hypothetical learning task state representation as a negative example. Further training instances are handled similarly, new learning tasks are started based on the examination of the sparse target vector for task name, target value pairs which match received training instance target values and for which tasks have not yet been started.

摘要翻译： 一种用于在监督学习系统中在内部和外部任务之间传送累积状态信息的方法和装置。 监督学习系统在初始化时编码假设学习任务的状态信息。 这种假设的学习任务状态信息表示没有接收到训练实例。 在受监督的学习过程中，培训实例被提供给受监督的学习者。 训练实例使用特征向量和目标值信息进行编码。 对于与非默认目标值配对的每个任务名称，学习者通过复制假设的学习任务状态表达来初始化新的学习任务，以用作新学习任务的状态表示。 然后为所有学习任务生成预测因子，除了假设的学习任务。 新的训练实例用于更新目标向量中指定的所有学习任务。 然后使用新的训练实例来更新假设的学习任务状态表示作为一个负面例子。 进一步训练实例的处理方式类似，基于检查任务名称的稀疏目标向量，匹配接收到的训练实例目标值的目标值对以及哪些任务尚未开始，开始新的学习任务。

公开(公告)号：US08966553B2

公开(公告)日：2015-02-24

申请号：US12624111

申请日：2009-11-23

申请人： Yih-Farn Chen ,  Rittwik Jana ,  Daniel L. Stern ,  Hailong Sun ,  Bin Wei ,  Ping-Fai Yang

发明人： Yih-Farn Chen ,  Rittwik Jana ,  Daniel L. Stern ,  Hailong Sun ,  Bin Wei ,  Ping-Fai Yang

IPC分类号： H04N7/173

CPC分类号： H04N21/812 ,  H04N21/2181 ,  H04N21/2225 ,  H04N21/2385 ,  H04N21/2668 ,  H04N21/4334 ,  H04N21/47202 ,  H04N21/632 ,  H04N21/64322

摘要： A video-on-demand (VOD) server in an Internet protocol television (IPTV) network with a network of set-top boxes includes IPTV operational data and an analysis module that selects a content item. The VOD server divides the content item into sequential chunks, divides the chunks into stripes, pre-populates set-top boxes in a peering network with at least one stripe from each chunk, receives a request for the content item, and directs each set-top box to sequentially stream its stripes. A method includes selecting a content item based upon IPTV operational data, dividing the content item into sequential chunks, dividing the chunks into stripes, pre-populating set-top boxes in a peering network with at least one stripe from each chunk, receiving a request for the content item, and directing each set-top box to sequentially stream its stripes.

摘要翻译： 具有机顶盒网络的因特网协议电视（IPTV）网络中的视频点播（VOD）服务器包括IPTV操作数据和选择内容项的分析模块。 VOD服务器将内容项划分为顺序块，将块划分成条带，在对等网络中预先填充机顶盒，每个块中至少有一个条带，接收对内容项的请求，并指示每个集合 - 顶部框以顺序流式传输其条纹。 一种方法包括：基于IPTV操作数据选择内容项，将内容分为顺序块，将块划分成条带，在对等网络中预先填充来自每个块的至少一个条带的机顶盒，接收请求 并且指示每个机顶盒顺序地流出其条带。

公开(公告)号：US06668248B1

公开(公告)日：2003-12-23

申请号：US10325911

申请日：2002-12-23

申请人： David D. Lewis ,  Amitabh Kumar Singhal ,  Daniel L. Stern

发明人： David D. Lewis ,  Amitabh Kumar Singhal ,  Daniel L. Stern

IPC分类号： G06F1518

CPC分类号： G06N99/005

摘要： A method and apparatus for adding new learning tasks to an incremental supervised learner provide a flexible incremental representation of all training examples encountered, thereby permitting state representations for new learning tasks to take advantage of incremental training already completed by encoding all past training examples as negative examples for a hypothetical learning task. The state representation of the hypothetical learning task is copied as the initial state representation for a new learning task to be initiated, is initialized with negative training examples of all previously presented training examples, thereby permitting the learning task to incorporate the previous examples efficiently.

摘要翻译： 用于将新的学习任务添加到增量监督学习者的方法和装置提供了所遇到的所有训练示例的灵活的增量表示，从而允许新学习任务的状态表示利用已经通过将所有过去的训练示例编码为负的示例已经完成的增量训练 一个假设的学习任务。 假设学习任务的状态表示被复制为要启动的新学习任务的初始状态表示，用所有先前提出的训练示例的负训练示例初始化，从而允许学习任务有效地并入前述示例。

公开(公告)号：US06931383B2

公开(公告)日：2005-08-16

申请号：US10689888

申请日：2003-10-21

申请人： David D. Lewis ,  Amitabh Kumar Singhal ,  Daniel L. Stern

发明人： David D. Lewis ,  Amitabh Kumar Singhal ,  Daniel L. Stern

IPC分类号： G06F15/18 ,  G06N5/00

CPC分类号： G06N99/005

摘要： Apparatus for adding new learning tasks to an incremental supervised learner provides a flexible incremental representation of all encountered training examples, thereby permitting state representations for new learning tasks to take advantage of incremental training already completed by encoding all past training examples as negative examples for a hypothetical learning task. The state representation of the hypothetical learning task is copied as the initial state representation for a new learning task to be initiated, and is initialized with negative training examples of all previously presented training examples, thereby permitting the learning task to efficiently incorporate the previous examples.

摘要翻译： 将新的学习任务添加到增量监督学习者的设备提供了所有遇到的训练示例的灵活的增量表示，从而允许新学习任务的状态表示利用已经通过编码所有过去的训练示例已经完成的增量训练作为假设的 学习任务 假设学习任务的状态表示被复制为要启动的新学习任务的初始状态表示，并且被初始化为所有先前呈现的训练示例的负训练示例，从而允许学习任务有效地并入先前的示例。