“Tianyi Luo 2016-03-28”版本间的差异

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* To respond the email of Patent application company in details.
 
* To respond the email of Patent application company in details.
 
* To install the tensorflow in grid-16 to reproduce Dongxu's work.
 
* To install the tensorflow in grid-16 to reproduce Dongxu's work.
* To finish the font transfer project with Yanxu.
 
 
* To prepare the weekly report about intellegent qa system next Monday.
 
* To prepare the weekly report about intellegent qa system next Monday.
 
=== Work done in this week ===
 
=== Work done in this week ===
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* Finish installing the tensorflow in grid-16 to reproduce Dongxu's work.
 
* Finish installing the tensorflow in grid-16 to reproduce Dongxu's work.
 
=== Plan to do next week ===
 
=== Plan to do next week ===
 
+
* To finish the weekly report about intellegent qa system next Monday.
 +
* To master the job qa based on the tensorFlow.
 +
* To finish doing our own poem presentation page.
 
===Interested papers ===
 
===Interested papers ===
 
*Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]
 
*Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]]

2016年3月28日 (一) 12:34的最后版本

Plan to do this week

  • To get the data which is used to train tha QA chatting model.
  • To respond the email of Patent application company in details.
  • To install the tensorflow in grid-16 to reproduce Dongxu's work.
  • To prepare the weekly report about intellegent qa system next Monday.

Work done in this week

  • Finish getting the data which is used to train the chatting model from huilian.
  • Finish responding the email of Patent application company in details.
  • Finish installing the tensorflow in grid-16 to reproduce Dongxu's work.

Plan to do next week

  • To finish the weekly report about intellegent qa system next Monday.
  • To master the job qa based on the tensorFlow.
  • To finish doing our own poem presentation page.

Interested papers

  • Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [pdf]