Yuanfang Li - Irvine CA, US David Castaneda - Morgan Hill CA, US Ling Liu - Sunnyvale CA, US
Assignee:
Maxim Integrated Products, Inc. - San Jose CA
International Classification:
H03M 1/78
US Classification:
341154, 341145
Abstract:
A system includes an NL bit digital to analog converter (DAC) ladder module having NL ladder resistors connected in parallel, NL series resistors connected in series between the NL ladder resistors, and a plurality of switches. NL is an integer greater than one. Adjacent pairs of the plurality of switches are connected in series with respective ones of the ladder resistors. On resistances of each of the plurality of switches are approximately equal. A switch control module provides a plurality of switch control signals to respective ones of the plurality of switches.
Sheng Dong - Fremont CA, US Qiaoyun Li - Cupertino CA, US Ling Liu - Milpitas CA, US
International Classification:
G06F013/00
US Classification:
345/744000, 345/740000
Abstract:
In one embodiment, the present invention determines an identification corresponding to a device and a user interface corresponding to the identification of the device is remotely loaded from a remote source. In another embodiment, a user interface corresponding to the identification of the device is locally loaded from a local source. In yet another embodiment, a basic user interface corresponding to the identification of the device is loaded if a user interface corresponding to the identification of the device is not found by searching remotely or locally.
Incorporating Recency In Network Search Using Machine Learning
Anlei Dong - Fremont CA, US Yi Chang - Santa Clara CA, US Ruiqiang Zhang - Cupertino CA, US Zhaohui Zheng - Mountain View CA, US Gilad Avraham Mishne - Oakland CA, US Jing Bai - San Jose CA, US Karolina Barbara Buchner - San Jose CA, US Ciya Liao - Fremont CA, US Shihao Ji - Santa Clara CA, US Gilbert Leung - Mountain View CA, US Georges-Eric Albert Marie Robert Dupret - Mountain View CA, US Ling Liu - Mountain View CA, US
Assignee:
YAHOO! INC. - Sunnyvale CA
International Classification:
G06F 17/30
US Classification:
707725, 707E17014, 707780
Abstract:
In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.
UtrechtSenior Programmer at Accenture Technology Solution... Experienced in EAI middleware development and implementation, certified in TIBCO BusinessWorks5.2,familiar with WebMethods, SonicMQ, WebSphere.
At Cacharel, where the Chinese duo Ling Liu and Dawei Sun were showing their second collection, the focus was on coats, warm outfits in wool or felt, and sensual knit dresses that wrapped up around the neck.