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1. 发明授权

US08140301B2 Method and system for causal modeling and outlier detection 有权
标题翻译：因果建模和异常值检测的方法和系统
公开(公告)号：US08140301B2
公开(公告)日：2012-03-20
申请号：US11742227
申请日：2007-04-30
申请人： Naoki Abe , David L. Jensen , Srujana Merugu , Justin Wai-Chow Wong
发明人： Naoki Abe , David L. Jensen , Srujana Merugu , Justin Wai-Chow Wong
IPC分类号： G06F17/10 , G06F15/18
CPC分类号： G05B17/02
摘要： A method (and system) for causal modeling includes modeling a data set. The modeling includes estimating a reverse Bayesian forest for the data set and detecting outliers in a separate data set. Detecting the outliers includes applying the reverse Bayesian forest to the separate data set to obtain a probability value assigned to data points in the separate data set and identifying outliers in the separate data set by evaluating the probability value given by the reverse Bayesian forest.
摘要翻译：用于因果建模的方法（和系统）包括对数据集进行建模。该建模包括估计数据集的反向贝叶斯森林，并检测单独数据集中的异常值。检测异常值包括将反向贝叶斯森林应用于单独的数据集，以获得分配给单独数据集中的数据点的概率值，并通过评估由反向贝叶斯森林给出的概率值来识别分离数据集中的异常值。

2. 发明申请

US20080270088A1 METHOD AND SYSTEM FOR CAUSAL MODELING AND OUTLIER DETECTION 有权
标题翻译：用于建模和外部检测的方法和系统
公开(公告)号：US20080270088A1
公开(公告)日：2008-10-30
申请号：US11742227
申请日：2007-04-30
申请人： Naoki Abe , David L. Jensen , Srujana Merugu , Justin Wai-Chow Wong
发明人： Naoki Abe , David L. Jensen , Srujana Merugu , Justin Wai-Chow Wong
IPC分类号： G06F17/10
CPC分类号： G05B17/02
摘要： A method (and system) for causal modeling includes modeling a data set using a reverse Bayesian forest.
摘要翻译：用于因果建模的方法（和系统）包括使用反向贝叶斯森林建模数据集。

3. 发明申请

US20080275800A1 METHOD AND SYSTEM FOR DEBT COLLECTION OPTIMIZATION 失效
标题翻译： DEBT收集优化的方法和系统
公开(公告)号：US20080275800A1
公开(公告)日：2008-11-06
申请号：US11743293
申请日：2007-05-02
申请人： Naoki Abe , James J. Bennett , David L. Jensen , Richard D. Lawrence , Prem Melville , Edwin Peter Dawson Pednault , Cezar Pendus , Chandan Karrem Reddy , Vincent Philip Thomas
发明人： Naoki Abe , James J. Bennett , David L. Jensen , Richard D. Lawrence , Prem Melville , Edwin Peter Dawson Pednault , Cezar Pendus , Chandan Karrem Reddy , Vincent Philip Thomas
IPC分类号： G06Q40/00
CPC分类号： G06Q40/00 , G06Q40/025 , G06Q40/12
摘要： The present invention employs data processing systems to handle debt collection by formulation the collections process as a Markov Decision Process with constrained resources, thus making it possible automatically to generate an optimal collections policy with respect to maximizing long-term expected return throughout the course of a collections process, subject to constraints on the available resources possibly in multiple organizations. This is accomplished by coupling data modeling and resource optimization within the constrained Markov Decision Process formulation and generating optimized rules based on constrained reinforcement learning process comprising applied on the basis of past historical data.
摘要翻译：本发明采用数据处理系统来处理债务收集，通过将收集过程作为具有约束资源的马尔可夫决策过程来制定收款过程，从而使得可以自动生成关于在整个过程中最大化长期预期回报的最佳收款策略收集过程，受到可能在多个组织中可用资源的限制。这通过在约束马尔可夫决策过程公式中耦合数据建模和资源优化来实现，并且基于约束强化学习过程生成优化的规则，其包括基于过去的历史数据应用。

4. 发明授权

US07519553B2 Method and system for debt collection optimization 失效
标题翻译：收债优化的方法和制度
公开(公告)号：US07519553B2
公开(公告)日：2009-04-14
申请号：US11743293
申请日：2007-05-02
申请人： Naoki Abe , James J. Bennett , David L. Jensen , Richard D. Lawrence , Prem Melville , Edwin Peter Dawson Pednault , Cezar Pendus , Chandan Karrem Reddy , Vincent Philip Thomas
发明人： Naoki Abe , James J. Bennett , David L. Jensen , Richard D. Lawrence , Prem Melville , Edwin Peter Dawson Pednault , Cezar Pendus , Chandan Karrem Reddy , Vincent Philip Thomas
IPC分类号： G06Q40/00
CPC分类号： G06Q40/00 , G06Q40/025 , G06Q40/12
摘要： The present invention employs data processing systems to handle debt collection by formulation the collections process as a Markov Decision Process with constrained resources, thus making it possible automatically to generate an optimal collections policy with respect to maximizing long-term expected return throughout the course of a collections process, subject to constraints on the available resources possibly in multiple organizations. This is accomplished by coupling data modeling and resource optimization within the constrained Markov Decision Process formulation and generating optimized rules based on constrained reinforcement learning process comprising applied on the basis of past historical data.
摘要翻译：本发明采用数据处理系统来处理债务收集，通过将收集过程作为具有约束资源的马尔可夫决策过程来制定收款过程，从而使得可以自动生成关于在整个过程中最大化长期预期回报的最佳收款策略收集过程，受到可能在多个组织中可用资源的限制。这通过在约束马尔可夫决策过程公式中耦合数据建模和资源优化来实现，并且基于约束强化学习过程生成优化的规则，其包括基于过去的历史数据应用。

5. 发明授权

US08285581B2 System and method for sequential decision making for customer relationship management 失效
标题翻译：用于客户关系管理的顺序决策系统和方法
公开(公告)号：US08285581B2
公开(公告)日：2012-10-09
申请号：US12140846
申请日：2008-06-17
申请人： Naoki Abe , Edwin P. D. Pednault
发明人： Naoki Abe , Edwin P. D. Pednault
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q10/06375 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204 , G06Q30/0226 , G06Q30/0234 , G06Q30/0239
摘要： A system and method for sequential decision-making for customer relationship management includes providing customer data including stimulus-response history data, and automatically generating actionable rules based on the customer data. Further, automatically generating actionable rules may include estimating a value function using reinforcement learning.
摘要翻译：用于客户关系管理的顺序决策的系统和方法包括提供包括刺激响应历史数据的客户数据，以及基于客户数据自动生成可操作的规则。此外，自动生成可操作规则可以包括使用强化学习估计值函数。

6. 发明授权

US08227238B2 Apparatus for producing pellets containing entrapped and immobilized microorganisms 有权
标题翻译：用于生产包含夹带和固定的微生物的颗粒的装置
公开(公告)号：US08227238B2
公开(公告)日：2012-07-24
申请号：US12382340
申请日：2009-03-13
申请人： Naoki Abe , Koutarou Aoyama , Tatsuo Sumino , Hiroyoshi Emori , Takayuki Kouno
发明人： Naoki Abe , Koutarou Aoyama , Tatsuo Sumino , Hiroyoshi Emori , Takayuki Kouno
IPC分类号： C12M1/00 , C12N11/02 , C12N11/04 , C12N1/04
CPC分类号： C02F3/108 , C02F3/348 , C12N11/04 , C12N11/08 , Y02W10/15
摘要： A large amount of entrapping immobilization pellets with highly stable quality are produced inexpensively by high-speed treatment. There is provided a process for producing entrapping immobilization pellets in which microorganisms are entrapped and immobilized in an immobilizing agent, the process comprising polymerizing a mixture containing the microorganisms and a solution of the immobilizing agent in a forming frame into a gel to prepare a pellet block.
摘要翻译：通过高速处理廉价地生产出大量具有高度稳定质量的捕获固定化丸粒。本发明提供了一种生产包埋固定化小球的方法，其中微生物被捕获并固定在固定剂中，该方法包括将含有微生物的混合物和固定剂溶液在成型框中聚合成凝胶以制备颗粒块。

7. 发明授权

US08006157B2 Resource-light method and apparatus for outlier detection 失效
标题翻译：资源光法和异常检测装置
公开(公告)号：US08006157B2
公开(公告)日：2011-08-23
申请号：US11863704
申请日：2007-09-28
申请人： Naoki Abe , John Langford
发明人： Naoki Abe , John Langford
IPC分类号： H04L1/00 , G06F11/30 , H03M13/00
CPC分类号： G06N99/005 , Y10S707/99936 , Y10S707/99943
摘要： Outlier detection methods and apparatus have light computational resources requirement, especially on the storage requirement, and yet achieve a state-of-the-art predictive performance. The outlier detection problem is first reduced to that of a classification learning problem, and then selective sampling based on uncertainty of prediction is applied to further reduce the amount of data required for data analysis, resulting in enhanced predictive performance. The reduction to classification essentially consists in using the unlabeled normal data as positive examples, and randomly generated synthesized examples as negative examples. Application of selective sampling makes use of an underlying, arbitrary classification learning algorithm, the data labeled by the above procedure, and proceeds iteratively. Each iteration consisting of selection of a smaller sub-sample from the input data, training of the underlying classification algorithm with the selected data, and storing the classifier output by the classification algorithm. The selection is done by essentially choosing examples that are harder to classify with the classifiers obtained in the preceding iterations. The final output hypothesis is a voting function of the classifiers obtained in the iterations of the above procedure.
摘要翻译：异常值检测方法和装置具有较轻的计算资源需求，特别是对存储要求的要求，而且具有最先进的预测性能。异常值检测问题首先降低到分类学习问题，然后应用基于预测不确定度的选择性抽样来进一步减少数据分析所需的数据量，从而提高预测性能。归类分类主要在于使用未标记的正常数据作为正例，随机生成合成实例作为阴性实例。选择性抽样的应用使用了基础的，任意的分类学习算法，由上述过程标记的数据，并且迭代地进行。每个迭代包括从输入数据中选择较小的子样本，对所选数据训练底层分类算法，以及通过分类算法存储分类器输出。选择是通过基本上选择难以对上述迭代中获得的分类器进行分类的示例来完成的。最终输出假设是在上述过程的迭代中获得的分类器的投票函数。

8. 发明授权

US07897042B2 Entrapping immobilization pellets for purifying breeding water, process and apparatus for purifying breeding water, and aquarium set 有权
标题翻译：用于净化繁殖水的包埋固定颗粒，用于净化繁殖水的方法和装置以及水族箱
公开(公告)号：US07897042B2
公开(公告)日：2011-03-01
申请号：US12382740
申请日：2009-03-23
申请人： Shinichi Yoshikawa , Naoki Abe , Kazuichi Isaka
发明人： Shinichi Yoshikawa , Naoki Abe , Kazuichi Isaka
IPC分类号： A01K63/04 , C02F3/08 , C12N11/04 , C12N11/08
CPC分类号： A01K63/045 , A01K63/04 , C02F3/108 , C12N11/08 , Y02W10/15
摘要： Entrapping immobilization pellets for purifying breeding water in an aquarium to breed aquatic animals, wherein the entrapping immobilization pellets have a phosphorus content of 0.05 mass % or less.
摘要翻译：包埋固定化颗粒，用于净化水族箱中的繁殖水以繁殖水生动物，其中所述包埋固定化沉淀物的磷含量为0.05质量％以下。

9. 发明申请

US20090197328A1 Process and apparatus for producing entrapping immobilization pellets 有权
公开(公告)号：US20090197328A1
公开(公告)日：2009-08-06
申请号：US12382340
申请日：2009-03-13
申请人： Naoki Abe , Koutarou Aoyama , Tatsuo Sumino , Hiroyoshi Emori , Takayuki Kouno
发明人： Naoki Abe , Koutarou Aoyama , Tatsuo Sumino , Hiroyoshi Emori , Takayuki Kouno
IPC分类号： C12M1/00
CPC分类号： C02F3/108 , C02F3/348 , C12N11/04 , C12N11/08 , Y02W10/15
摘要： A large amount of entrapping immobilization pellets with highly stable quality are produced inexpensively by high-speed treatment. There is provided a process for producing entrapping immobilization pellets in which microorganisms are entrapped and immobilized in an immobilizing agent, the process comprising polymerizing a mixture containing the microorganisms and a solution of the immobilizing agent in a forming frame into a gel to prepare a pellet block.

10. 发明申请

US20080266634A1 Light Scanning Device and Image Forming Apparatus 有权
标题翻译：光扫描装置及成像装置
公开(公告)号：US20080266634A1
公开(公告)日：2008-10-30
申请号：US12109658
申请日：2008-04-25
申请人： Hirokazu Nakashima , Naoki Abe
发明人： Hirokazu Nakashima , Naoki Abe
IPC分类号： G02B26/10 , G03G15/22
CPC分类号： G02B26/105 , G02B26/127 , G03G15/0435 , G03G15/326 , G03G2215/0404 , H04N1/02815 , H04N1/0473 , H04N1/113 , H04N2201/04703 , H04N2201/04734 , H04N2201/04748 , H04N2201/04755 , H04N2201/04767
摘要： A light scanning device is provided. The light scanning device includes: an oscillating mirror which oscillates rotationally and reflects a light beam to be scanned over a scanning range, the scanning range including a first scanning range and a second scanning range set across a center of the scanning range; a detection unit including a light receiving face, on which the light beam is incident, to detect the light beam; and first and second stationary mirrors which reflect the light beam reflected by the oscillating mirror to the first scanning range and the second scanning range, respectively, to be incident on the light receiving face, wherein an incident pattern of the light beam reflected by the first stationary mirror incident on the light receiving face is different from an incident pattern of the light beam reflected by the second stationary mirror incident on the light receiving face.
摘要翻译：提供光扫描装置。光扫描装置包括：振动反射镜，其在扫描范围内旋转振荡并反射待扫描的光束，扫描范围包括跨越扫描范围的中心设置的第一扫描范围和第二扫描范围; 检测单元，其包括光束入射的光接收面以检测光束; 以及第一和第二固定镜，其将由所述振动反射镜反射的光束分别反射到所述第一扫描范围和所述第二扫描范围，以入射到所述光接收面上，其中所述光束的入射图案被所述第一入射在光接收面上的固定镜与入射在受光面上的第二静止镜反射的光束的入射图案不同。

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