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 =Chaos Work=   =Chaos Work= 
−   +  ==SLT== 
−  ==Date Line==
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−   +  
−  ===Date 20151009===
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−   +  
−  ====Plan to do====
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−   +  
−  :1. Write Matrix Factorization program.
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−  :2. Write DNN MaxMargin program with dropout.
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−  :3. Run some test model in GPU machines.
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−  <Written by 1008>
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−  ====Done====
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−  :2. Write DNN MaxMargin program with dropout.
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−  :3. Run some test model in GPU machines.
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−   +  
−   +  
−  ===Date 20151010===
 +  
−   +  
−  ====Plan to do====
 +  
−   +  
−  :1. Write Matrix Factorization program.
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−  :2. Start test different matrix factorization lost functions.
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−  :3. Write Binary Vector for theano mode.
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−  <Written by 1009>
 +  
−  ====Done====
 +  
−  :1. Write Matrix Factorization program.
 +  
−  :2. Start test different matrix factorization lost functions.
 +  
−  <Written by 1012>
 +  
−   +  
−  ===Date 20151012===
 +  
−   +  
−  ====Plan to do====
 +  
−   +  
−  :1. Test different matrix factorization lost functions.
 +  
−  :2. Write Binary Vector for theano mode.
 +  
−  :3. Thinking the method for merge different resource for one matrix factorization process.
 +  
−  ====Done====
 +  
−  :1. Test different matrix factorization lost functions.
 +  
−  :2. Write Binary Vector for theano mode.
 +  
−  :3. Thinking the method for merge different resource for one matrix factorization process.
 +  
−  <Written by 1013>
 +  
−   +  
−  ===Date 20151013===
 +  
−  ====Plan to do====
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−  :1. Read Papers for matrix factorization.
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−  :2. Read Papers for binary vectors.
 +  
−  ====Done====
 +  
−  :1. Read Papers for matrix factorization.
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−  Paper list:
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−  Neural Word Embedding as Implicit Matrix Factorization. Omer Levy;
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−  :2. Read Papers for binary vectors.
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−  Paper list:
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−  Learning to Hash for Indexing Big Data  A Survey. Jun Wang;
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−  Learning Hash Codes with Listwise Supervision. Jun Wang;
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−  Kernelized LocalitySensitive Hashing for Scalable Image Search. Brian Kulis;
 +  
−  <Written by 1014>
 +  
−   +  
−  ===Date 20151013===
 +  
−  ====Plan to do====
 +  
−  :1. Read Papers for matrix factorization.
 +  
−  :2. Read Papers for binary vectors.
 +  
−  ====Done====
 +  