Patent application number | Description | Published |
20110071965 | SYSTEM AND METHOD FOR CROSS DOMAIN LEARNING FOR DATA AUGMENTATION - According to an example embodiment, a method comprises executing instructions by a special purpose computing apparatus to, for labeled source domain data having a plurality of original labels, generate a plurality of first predicted labels for the labeled source domain data using a target function, the target function determined by using a plurality of labels from labeled target domain data. The method further comprises executing instructions by the special purpose computing apparatus to apply a label relation function to the first predicted labels for the source domain data and the original labels for the source domain data to determine a plurality of weighting factors for the labeled source domain data. The method further comprises executing instructions by the special purpose computing apparatus to generate a new target function using the labeled target domain data, the labeled source domain data, and the weighting factors for the labeled source domain data, and evaluate a performance of the new target function to determine if there is a convergence. | 03-24-2011 |
20120016877 | CLUSTERING OF SEARCH RESULTS - One particular embodiment clusters a plurality of documents using one or more clustering algorithms to obtain one or more first sets of clusters, wherein: each first set of clusters results from clustering the documents using one of the clustering algorithms; and with respect to each first set of clusters, each of the documents belongs to one of the clusters from the first set of clusters; accesses a search query; identifies a search result in response to the search query, wherein the search result comprises two or more of the documents; and clusters the search result to obtain a second set of clusters, wherein each document of the search result belongs to one of the clusters from the second set of clusters. | 01-19-2012 |
20130097158 | METHOD AND SYSTEM FOR CUSTOMIZING A WEB SITE - Method, apparatus, and programs for customizing a web site are provided. In one example, a method for customizing a web site is provided. One or more representations corresponding to one or more customizable components of a web site are provided. The one or more representations are to be displayed on a display screen to a user. An input entered by the user and directed to a specific customizable component of the web site is received. How to customize the specific customizable component of the web site is determined based on the input. An instruction is generated with respect to the customizable component. The instruction is used to implement customization of the specific customizable component of the web site in accordance with the input from the user. | 04-18-2013 |
20140297580 | DETERMINING A CHURN PROBABILITY FOR A SUBSCRIBER OF A SOCIAL NETWORK SERVICE - Systems and methods for reducing a churn rate associated with subscribers of social network services are described. In some example embodiments, the systems and methods may access activity information associated with a former subscriber of a social network service, compare the accessed activity information to activity information associated with subscribers of the social network service, identify one or more differences between the activity information associated with the former subscriber of the social network service and the activity information associated with the subscribers of the social network service, and perform an action based on the identified one or more differences. | 10-02-2014 |
Patent application number | Description | Published |
20110290060 | ROBOT ARM ASSEMBLY - A robot arm assembly includes a support arm, and the support arm includes a mounting base and a connecting portion defining a hollow portion. The robot arm assembly further includes a first arm, a second arm, a first input shaft, a second input shaft coaxial with and rotatable relative to the first input shaft, a first gear transmission mechanism coupled to the first input shaft to rotate the first arm, a second gear transmission mechanism coupled to the second input shaft to rotate the second arm, and a first backlash adjust mechanism to adjust the positions of the connecting portion, of the first and second input shafts relative to the mounting base, and providing the adjustment of the backlash between the first input gear pair and the second input gear pair. | 12-01-2011 |
20140013884 | GEAR TRANSMISSION MECHANISM AND ROBOT ARM CONNECTING STRUCTURE USING THE SAME - A gear transmission mechanism includes a housing, a first transmission assembly, a second transmission assembly, and a gear clearance adjustment assembly. The first transmission assembly includes an input shaft, and the second transmission assembly includes an output shaft. The gear clearance adjustment assembly includes an adjustment base mounted on the housing, fasteners, bearings, a washer, a fixing member, and a pair of freely rotatable adjusting gears for the transmission of rotative force. The adjusting gears mesh with the first and second transmission gears. | 01-16-2014 |
20140064901 | TRANSPORTING DEVICE - A transporting device includes a base, a driving assembly, a first linking mechanism, and a second linking mechanism. The first linking mechanism includes first and second connecting links that re hinged together. The second linking mechanism includes third and fourth connecting links that are hinged together. The first and the third connecting links are rotatably driven by the driving assembly, such that the first linking mechanism and the second linking mechanism are movable relative to the base toward each other, away from each other, or in a same direction, for transporting a workpiece. | 03-06-2014 |
20140076089 | ROBOT ARM ASSEMBLY - A robot arm assembly with tubes or pipes carrying fluids or electrical cables which do not get bent and are relatively straight, and are not disrupted by, the moving parts of the robot arm includes a first robot arm, a second robot arm, a third robot arm, and a flexible carrying tube. The second robot arm includes a first axle base, a first input shaft, a first bevel gear, and a second bevel gear. The flexible tube is inserted into the first bevel gear and the second bevel gear along a first axis, and fixed to the output shaft. | 03-20-2014 |
20140116182 | ROBOT ARM ASSEMBLY - A robot arm assembly includes a first robot arm, a second robot arm, a third robot arm, a connecting base, a first driving assembly, a second driving assembly, a third driving assembly, and a cable receiving tube. The connecting base includes a housing and a protection cover. A sidewall of the housing defines an opening. The protection cover covers the opening and is mounted on the housing. An end of the housing defines a cable inlet. The first driving assembly rotates the first robot arm. The second driving assembly rotates the second robot arm. The third driving assembly rotates the third robot arm. The cable receiving tube is received in the first robot arm, the second robot arm, and the third robot arm. | 05-01-2014 |
20140290418 | ROBOT ARM ASSEMBLY - A robot arm assembly includes a first robot arm, a second robot arm, and a third robot arm. The first robot arm includes a first body and a backlash adjusting assembly received in the first body. The backlash adjusting assembly includes a base plate, a protruding shaft perpendicularly coupled to the base plate, and an adjusting member. The base plate defines a slotted hole. The adjusting member is detachably inserted into the slotted hole and is detachably coupled to first body. The second robot arm includes a second body and a first transmission assembly rotatably coupled to the second body. The first transmission assembly includes a first adjusting gear, a first intermediate gear, and a second adjusting gear. The first intermediate gear meshes the first and second adjusting gear. The second adjusting gear is coupled to the second body. The first intermediate gear is sleeved on the protruding shaft. | 10-02-2014 |
20140301772 | BALL JOINT - A ball joint includes a ball member, a socket member, and a resilient pressing mechanism. The ball member couples with the socket member. The resilient pressing mechanism is positioned between the ball member and the socket member, applying compression to cause the ball member to tightly contact the socket member. The resilient pressing mechanism includes a plurality of springs positioned in parallel between the ball member and the socket member. | 10-09-2014 |
Patent application number | Description | Published |
20140358826 | SYSTEMS AND METHODS FOR CONTENT RESPONSE PREDICTION - Techniques for predicting a user response to content are described. According to various embodiments, a configuration file is accessed, where the configuration file includes a user-specification of raw data accessible via external data sources and raw data encoding rules. In some embodiments, the raw data includes raw member data associated with a particular member and raw content data associated with a particular content item. Thereafter, source modules encode the raw data from the external data sources into feature vectors, based on the raw data encoding rules. An assembler module assembles one or more of the feature vectors into an assembled feature vector, based on user-specified assembly rules included in the configuration file. A prediction module performs a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item. | 12-04-2014 |
20150088788 | SYSTEMS AND METHODS FOR CONTENT RESPONSE PREDICTION - Techniques for predicting a user response to content are described. According to various embodiments, a configuration file is accessed, where the configuration file includes a user-specification of raw data accessible via external data sources and raw data encoding rules. In some embodiments, the raw data includes raw member data associated with a particular member and raw content data associated with a particular content item. Thereafter, source modules encode the raw data from the external data sources into feature vectors, based on the raw data encoding rules. An assembler module assembles one or more of the feature vectors into an assembled feature vector, based on user-specified assembly rules included in the configuration file. A prediction module performs a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item. | 03-26-2015 |