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Page 1: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

Page 2: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

Page 3: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

Page 4: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

Page 5: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

Page 6: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

Page 7: Stanford University€¦ · Algorithm 1 Tri-training with Pseudo-labels. Require: Source data X Source label y Target data Xtarget source source T = l: initial training set Xiabel

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