Examples of PairScoreWithDistance

statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

           return outcome;
       }
       
       public static Stack<PairScoreWithDistance> getChoicesother_distance(ArrayList<PairScoreWithDistance> possibleResults)
       {
         PairScoreWithDistance bestPair=null;
       for(PairScoreWithDistance P:possibleResults)
       {        
        if(bestPair == null || P.getDistanceScore() > bestPair.getDistanceScore())
          bestPair=P;
       }
           Stack<PairScoreWithDistance> outcome = new Stack<PairScoreWithDistance>();
           PairScoreWithDistance top = bestPair;
           outcome.add(top);
           int i=possibleResults.size()-2;
           while(i>=0)
           {
             PairScoreWithDistance curr = possibleResults.get(i);--i;
                 if (curr.getDistanceScore() == top.getDistanceScore() && !outcome.contains(curr))
                   outcome.add(curr);
           }
           return outcome;
       }

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

       }
       
       public static PairScore ordercountChoices(Stack<PairScoreWithDistance> stack)
       {
         ArrayList<PairScoreWithDistance> toptop = new ArrayList<PairScoreWithDistance>();
         PairScoreWithDistance top = stack.peek();         
           int i=stack.size()-1;
           while(i>=0)
           {
             PairScoreWithDistance curr = stack.get(i);--i;
                 if (curr.getScore() != top.getScore())
               break;  
               toptop.add(curr);                       
           }
           PairScoreWithDistance high_pair = top;
           for(PairScoreWithDistance t:toptop)
           {
            if(t!=top)
            {
              System.out.println("Distance Score of high= "+high_pair.getDistanceScore());
              System.out.println("Distance Score of t= "+t.getDistanceScore());
          if( t.getDistanceScore() > high_pair.getDistanceScore())
            high_pair=t;
            }
           }
           return high_pair;
       }

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

       }
       
       public static PairScoreWithDistance ordercountChoices_improved(Stack<PairScoreWithDistance> stack)
       {
         Stack<PairScoreWithDistance> toptop = new Stack<PairScoreWithDistance>();
         PairScoreWithDistance top = stack.peek();         
           int i=stack.size()-1;
           while(i>=0)
           {
             PairScoreWithDistance curr = stack.get(i);--i;
                 if (curr.getScore() != top.getScore())
               break;  
               toptop.add(curr);                       
           }
           PairScoreWithDistance high_pair = top;
           for(PairScoreWithDistance t:toptop)
           {
            if(t!=top)
            {
               if(t.getDistanceScore() > high_pair.getDistanceScore())
                 high_pair=t;
            }
           }
                     
           return high_pair;

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

           return outcome;
       }
       
       public static Stack<PairScoreWithDistance> getChoicesother_distance(ArrayList<PairScoreWithDistance> possibleResults)
       {
         PairScoreWithDistance bestPair=null;
       for(PairScoreWithDistance P:possibleResults)
       {        
        if(bestPair == null || P.getDistanceScore() > bestPair.getDistanceScore())
          bestPair=P;
       }
           Stack<PairScoreWithDistance> outcome = new Stack<PairScoreWithDistance>();
           PairScoreWithDistance top = bestPair;
           outcome.add(top);
           int i=possibleResults.size()-2;
           while(i>=0)
           {
             PairScoreWithDistance curr = possibleResults.get(i);--i;
                 if (curr.getDistanceScore() == top.getDistanceScore() && !outcome.contains(curr))
                   outcome.add(curr);
           }
           return outcome;
       }

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

       }
       
       public static PairScore ordercountChoices(Stack<PairScoreWithDistance> stack)
       {
         ArrayList<PairScoreWithDistance> toptop = new ArrayList<PairScoreWithDistance>();
         PairScoreWithDistance top = stack.peek();         
           int i=stack.size()-1;
           while(i>=0)
           {
             PairScoreWithDistance curr = stack.get(i);--i;
                 if (curr.getScore() != top.getScore())
               break;  
               toptop.add(curr);                       
           }
           PairScoreWithDistance high_pair = top;
           for(PairScoreWithDistance t:toptop)
           {
            if(t!=top)
            {
              System.out.println("Distance Score of high= "+high_pair.getDistanceScore());
              System.out.println("Distance Score of t= "+t.getDistanceScore());
          if( t.getDistanceScore() > high_pair.getDistanceScore())
            high_pair=t;
            }
           }
           return high_pair;
       }

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

       }
       
       public static PairScoreWithDistance ordercountChoices_improved(Stack<PairScoreWithDistance> stack)
       {
         Stack<PairScoreWithDistance> toptop = new Stack<PairScoreWithDistance>();
         PairScoreWithDistance top = stack.peek();         
           int i=stack.size()-1;
           while(i>=0)
           {
             PairScoreWithDistance curr = stack.get(i);--i;
                 if (curr.getScore() != top.getScore())
               break;  
               toptop.add(curr);                       
           }
           PairScoreWithDistance high_pair = top;
           for(PairScoreWithDistance t:toptop)
           {
            if(t!=top)
            {
               if(t.getDistanceScore() > high_pair.getDistanceScore())
                 high_pair=t;
            }
           }
                     
           return high_pair;

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

           return outcome;
       }
       
       public static Stack<PairScoreWithDistance> getChoicesother_distance(ArrayList<PairScoreWithDistance> possibleResults)
       {
         PairScoreWithDistance bestPair=null;
       for(PairScoreWithDistance P:possibleResults)
       {        
        if(bestPair == null || P.getDistanceScore() > bestPair.getDistanceScore())
          bestPair=P;
       }
           Stack<PairScoreWithDistance> outcome = new Stack<PairScoreWithDistance>();
           PairScoreWithDistance top = bestPair;
           outcome.add(top);
           int i=possibleResults.size()-2;
           while(i>=0)
           {
             PairScoreWithDistance curr = possibleResults.get(i);--i;
                 if (curr.getDistanceScore() == top.getDistanceScore() && !outcome.contains(curr))
                   outcome.add(curr);
           }
           return outcome;
       }

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

       }
       
       public static PairScore ordercountChoices(Stack<PairScoreWithDistance> stack)
       {
         ArrayList<PairScoreWithDistance> toptop = new ArrayList<PairScoreWithDistance>();
         PairScoreWithDistance top = stack.peek();         
           int i=stack.size()-1;
           while(i>=0)
           {
             PairScoreWithDistance curr = stack.get(i);--i;
                 if (curr.getScore() != top.getScore())
               break;  
               toptop.add(curr);                       
           }
           PairScoreWithDistance high_pair = top;
           for(PairScoreWithDistance t:toptop)
           {
            if(t!=top)
            {
              System.out.println("Distance Score of high= "+high_pair.getDistanceScore());
              System.out.println("Distance Score of t= "+t.getDistanceScore());
          if( t.getDistanceScore() > high_pair.getDistanceScore())
            high_pair=t;
            }
           }
           return high_pair;
       }

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

       }
       
       public static PairScoreWithDistance ordercountChoices_improved(Stack<PairScoreWithDistance> stack)
       {
         Stack<PairScoreWithDistance> toptop = new Stack<PairScoreWithDistance>();
         PairScoreWithDistance top = stack.peek();         
           int i=stack.size()-1;
           while(i>=0)
           {
             PairScoreWithDistance curr = stack.get(i);--i;
                 if (curr.getScore() != top.getScore())
               break;  
               toptop.add(curr);                       
           }
           PairScoreWithDistance high_pair = top;
           for(PairScoreWithDistance t:toptop)
           {
            if(t!=top)
            {
               if(t.getDistanceScore() > high_pair.getDistanceScore())
                 high_pair=t;
            }
           }
                     
           return high_pair;

View Full Code Here

Examples of statechum.analysis.learning.experiments.PairSelection.MarkovPassivePairSelection.PairScoreWithDistance

           return outcome;
       }
       
       public static Stack<PairScoreWithDistance> getChoicesother_distance(ArrayList<PairScoreWithDistance> possibleResults)
       {
         PairScoreWithDistance bestPair=null;
       for(PairScoreWithDistance P:possibleResults)
       {        
        if(bestPair == null || P.getDistanceScore() > bestPair.getDistanceScore())
          bestPair=P;
       }
           Stack<PairScoreWithDistance> outcome = new Stack<PairScoreWithDistance>();
           PairScoreWithDistance top = bestPair;
           outcome.add(top);
           int i=possibleResults.size()-2;
           while(i>=0)
           {
             PairScoreWithDistance curr = possibleResults.get(i);--i;
                 if (curr.getDistanceScore() == top.getDistanceScore() && !outcome.contains(curr))
                   outcome.add(curr);
           }
           return outcome;
       }

View Full Code Here

0 1

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.