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    • 3. 发明申请
    • SEQUENTIAL CONDITIONAL GENERALIZED ITERATIVE SCALING
    • 顺序条件广义迭代缩放
    • US20070022069A1
    • 2007-01-25
    • US11465102
    • 2006-08-16
    • Joshua Goodman
    • Joshua Goodman
    • G06N3/08G06F15/18
    • G06N99/005G10L15/063
    • A system and method facilitating training machine learning systems utilizing sequential conditional generalized iterative scaling is provided. The invention includes an expected value update component that modifies an expected value based, at least in part, upon a feature function of an input vector and an output value, a sum of lambda variable and a normalization variable. The invention further includes an error calculator that calculates an error based, at least in part, upon the expected value and an observed value. The invention also includes a parameter update component that modifies a trainable parameter based, at least in part, upon the error. A variable update component that updates at least one of the sum of lambda variable and the normalization variable based, at least in part, upon the error is also provided.
    • 提供了一种利用连续条件广义迭代缩放来促进训练机器学习系统的系统和方法。 本发明包括至少部分地基于输入向量的特征函数和输出值,λ变量和归一化变量的和来修改期望值的期望值更新组件。 本发明还包括误差计算器,该误差计算器至少部分地基于期望值和观测值来计算误差。 本发明还包括至少部分地基于错误来修改可训练参数的参数更新组件。 还提供了至少部分地基于错误来更新λ变量和归一化变量之和中的至少一个的可变更新组件。
    • 9. 发明申请
    • Order-based human interactive proofs (HIPs) and automatic difficulty rating of HIPs
    • 基于订单的人际互动证明(HIP)和HIP的自动难度评估
    • US20050066201A1
    • 2005-03-24
    • US10669545
    • 2003-09-23
    • Joshua GoodmanRobert Rounthwaite
    • Joshua GoodmanRobert Rounthwaite
    • G06Q30/00H04L9/32
    • G06Q30/02
    • The present invention involves a system and method that facilitate identifying human interaction by utilizing HIPs such as order-based HIPs and determining a difficulty rating of any type of HIPs in an automated fashion. Order-based HIPs require a user to identify elements in the sequence as well as to identify a correct order of the elements in the sequence. The invention involves presenting a user with at least two HIPs such that the HIP can be of known and/or unknown difficulty. A user that correctly answers the HIP of known difficulty gains access to the HIP-controlled resource, action or application. The user's response to the HIP of unknown difficulty can then be examined and employed to determine whether that HIP is too difficult for humans to solve. Alternatively, at least one HIP can be presented. Difficulty of individual HIP parameters can also be determined.
    • 本发明涉及一种系统和方法,其通过利用诸如基于顺序的HIP之类的HIP并且以自动化的方式确定任何类型的HIP的难易度来促进识别人的交互。 基于订单的HIP要求用户识别序列中的元素以及识别序列中元素的正确顺序。 本发明涉及向用户呈现至少两个HIP,使得HIP可能是已知的和/或未知的困难。 正确回答已知难题的HIP的用户可以访问HIP控制的资源,动作或应用程序。 然后可以检查和使用用户对未知困难HIP的响应,以确定HIP是否太难以解决。 或者,可以呈现至少一个HIP。 也可以确定各个HIP参数的难度。