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公开(公告)号：US20180160364A1
公开(公告)日：2018-06-07
申请号：US15579516
申请日：2015-06-04
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Shuai Wang , Xiaofeng Yu , Jun Qing Xie
Abstract: In an example, a set of training fingerprints may be accessed, in which each of the training fingerprints specifies an access point of a plurality of access points to which a mobile device made a successful connection, a relative signal strength of the connection to the access point, and a cellular signal strength of a cellular tower near the mobile device when the successful connection to the access point was made. Level counts of the relative signal strengths of the connections to the access points corresponding to the cellular signal strengths of the cellular tower may be cumulated from the set of training fingerprints. The cumulated level counts of the relative signal strengths of the access points may be ranked.
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公开(公告)号：US20180075361A1
公开(公告)日：2018-03-15
申请号：US15559207
申请日：2015-04-10
Applicant: HEWLETT-PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Xiaofeng Yu , Jun Qing Xie
CPC classification number: G06N7/005 , G06F16/24568 , G06F16/35 , G06F16/901
Abstract: Examples relate to hidden dynamic systems. In some examples, a conditional probability distribution for labeling data record segments is defined, where the conditional probability distribution models dependencies between class labels and internal substructures of the data record segments. At this stage, optimal parameter values are determined for the conditional probability distribution by applying a quasi-Newton gradient ascent method to training data, where the conditional probability distribution is restricted to a disjoint set of hidden states for each of the class labels. The conditional probability distribution and the optimal parameter values are used to determine a most probable labeling sequence for the data record segments.
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公开(公告)号：US10462062B2
公开(公告)日：2019-10-29
申请号：US15500544
申请日：2014-08-15
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Qun Yang Lin , Jun Qing Xie , Xiaofeng Yu
IPC: H04L12/851 , H04L29/06 , H04L12/741
Abstract: A SCI (Split, Compression and Intersection) packet classifier, wherein the SCI packet classifier comprises a construction module to generate rule ID array, h pairs of ISG and three binary search trees, and a lookup engine to look up the binary search trees and ISGs to find the highest priority rule matching the incoming packet and to output a corresponding rule ID.
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公开(公告)号：US20170148083A1
公开(公告)日：2017-05-25
申请号：US15310126
申请日：2014-06-12
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Xiaofeng Yu
CPC classification number: G06Q30/0631 , G06Q50/01 , H04N21/251 , H04N21/252 , H04N21/4756 , H04N21/6582
Abstract: The present disclose provides a method of recommending at least one item to a user, the method comprising: receiving the user's feedback on an item; predicting a user vector and an item vector related to the user in an online mode based on the received feedback; and recommending to the user an acceptable item based on the user vector and item vector.
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