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We show that the suggested hybrid proba-bilistic model -LRB- which combines global variables , like translation , with local variables , like relative positions and appearances of body parts -RRB- , leads to : -LRB- i -RRB- faster convergence of learning phase , -LRB- ii -RRB- robustness to occlusions , and , -LRB- iii -RRB- higher recognition rate .
 used for: global variables, hybrid proba-bilistic model; hyponym of: translation, global variables; hyponym of: relative positions, local variables; conjunction: relative positions, appearances of body parts; hyponym of: appearances of body parts, local variables; feature of: faster convergence, learning phase; conjunction: faster convergence, robustness; conjunction: robustness, recognition rate
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  global variables, hybrid proba-bilistic model; translation, global variables; relative positions, local variables; relative positions, appearances of body parts; appearances of body parts, local variables; faster convergence, learning phase; faster convergence, robustness; robustness, recognition rate 
Answer:
 used for: global variables, hybrid proba-bilistic model; hyponym of: translation, global variables; hyponym of: relative positions, local variables; conjunction: relative positions, appearances of body parts; hyponym of: appearances of body parts, local variables; feature of: faster convergence, learning phase; conjunction: faster convergence, robustness; conjunction: robustness, recognition rate