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What is a Meta algorithm?



Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?Card-buying algorithmFast algorithm for matrix chain multiplication in special caseHow does the Vertex Cover algorithm by Chen et al find its tuples?What makes a metaheuristic meta?Number of ways to connect sets of $k$ vertices in a perfect $n$ -gonTight examples: Feedback vertex set 2-approximation algorithmOrder of growth definition from Reynolds & TymannSearching the best trading route - algorithmAlgorithm for weighted elliptic curve fitLongest-path in a graph, where the path should be 'straight'










7












$begingroup$


I am currently reading a survey paper on the multiplicative weight update meta-algorithm. I am not quite sure what they mean by "meta-algorithm". Is it simply a general algorithm that can be used for different purposes?



I couldn't find any exact definition for this term, though I have found examples of meta-algorithms such as Boosting in machine learning.










share|cite|improve this question









$endgroup$
















    7












    $begingroup$


    I am currently reading a survey paper on the multiplicative weight update meta-algorithm. I am not quite sure what they mean by "meta-algorithm". Is it simply a general algorithm that can be used for different purposes?



    I couldn't find any exact definition for this term, though I have found examples of meta-algorithms such as Boosting in machine learning.










    share|cite|improve this question









    $endgroup$














      7












      7








      7





      $begingroup$


      I am currently reading a survey paper on the multiplicative weight update meta-algorithm. I am not quite sure what they mean by "meta-algorithm". Is it simply a general algorithm that can be used for different purposes?



      I couldn't find any exact definition for this term, though I have found examples of meta-algorithms such as Boosting in machine learning.










      share|cite|improve this question









      $endgroup$




      I am currently reading a survey paper on the multiplicative weight update meta-algorithm. I am not quite sure what they mean by "meta-algorithm". Is it simply a general algorithm that can be used for different purposes?



      I couldn't find any exact definition for this term, though I have found examples of meta-algorithms such as Boosting in machine learning.







      algorithms






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Apr 15 at 19:15









      monadoboimonadoboi

      1587




      1587




















          1 Answer
          1






          active

          oldest

          votes


















          13












          $begingroup$

          I interpret it as meaning "algorithmic technique". It's a general framework that can be used to solve a number of problems.



          Don't worry too much about the meaning of that phrase. It's not something with an accepted definition, and you don't need to understand it to gain the value from that survey paper; it's just a passing phrase. Instead, focus on understanding the ideas and technical results in the survey paper.






          share|cite|improve this answer









          $endgroup$








          • 4




            $begingroup$
            You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
            $endgroup$
            – corsiKa
            Apr 16 at 4:13






          • 1




            $begingroup$
            @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
            $endgroup$
            – Derek Elkins
            Apr 16 at 6:15












          Your Answer








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          1 Answer
          1






          active

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          active

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          votes






          active

          oldest

          votes









          13












          $begingroup$

          I interpret it as meaning "algorithmic technique". It's a general framework that can be used to solve a number of problems.



          Don't worry too much about the meaning of that phrase. It's not something with an accepted definition, and you don't need to understand it to gain the value from that survey paper; it's just a passing phrase. Instead, focus on understanding the ideas and technical results in the survey paper.






          share|cite|improve this answer









          $endgroup$








          • 4




            $begingroup$
            You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
            $endgroup$
            – corsiKa
            Apr 16 at 4:13






          • 1




            $begingroup$
            @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
            $endgroup$
            – Derek Elkins
            Apr 16 at 6:15
















          13












          $begingroup$

          I interpret it as meaning "algorithmic technique". It's a general framework that can be used to solve a number of problems.



          Don't worry too much about the meaning of that phrase. It's not something with an accepted definition, and you don't need to understand it to gain the value from that survey paper; it's just a passing phrase. Instead, focus on understanding the ideas and technical results in the survey paper.






          share|cite|improve this answer









          $endgroup$








          • 4




            $begingroup$
            You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
            $endgroup$
            – corsiKa
            Apr 16 at 4:13






          • 1




            $begingroup$
            @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
            $endgroup$
            – Derek Elkins
            Apr 16 at 6:15














          13












          13








          13





          $begingroup$

          I interpret it as meaning "algorithmic technique". It's a general framework that can be used to solve a number of problems.



          Don't worry too much about the meaning of that phrase. It's not something with an accepted definition, and you don't need to understand it to gain the value from that survey paper; it's just a passing phrase. Instead, focus on understanding the ideas and technical results in the survey paper.






          share|cite|improve this answer









          $endgroup$



          I interpret it as meaning "algorithmic technique". It's a general framework that can be used to solve a number of problems.



          Don't worry too much about the meaning of that phrase. It's not something with an accepted definition, and you don't need to understand it to gain the value from that survey paper; it's just a passing phrase. Instead, focus on understanding the ideas and technical results in the survey paper.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Apr 15 at 20:10









          D.W.D.W.

          104k13130296




          104k13130296







          • 4




            $begingroup$
            You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
            $endgroup$
            – corsiKa
            Apr 16 at 4:13






          • 1




            $begingroup$
            @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
            $endgroup$
            – Derek Elkins
            Apr 16 at 6:15













          • 4




            $begingroup$
            You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
            $endgroup$
            – corsiKa
            Apr 16 at 4:13






          • 1




            $begingroup$
            @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
            $endgroup$
            – Derek Elkins
            Apr 16 at 6:15








          4




          4




          $begingroup$
          You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
          $endgroup$
          – corsiKa
          Apr 16 at 4:13




          $begingroup$
          You know, for a field built on the ruthless exactness demanded by the machines we code, when it comes to communicating with fellow humans we're really, really bad at it.
          $endgroup$
          – corsiKa
          Apr 16 at 4:13




          1




          1




          $begingroup$
          @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
          $endgroup$
          – Derek Elkins
          Apr 16 at 6:15





          $begingroup$
          @corsiKa The implementer of humans followed Postel's principle (well half of it...) which makes it hard to tell when ambiguous or erroneous input is processed incorrectly. If communication with humans demanded ruthless exactness and had clear feedback of failure, I'm sure communication would be much more precise. However, Postel's principle leads to a need to maintain bug-compatibility so we can't expect it to be fixed in a future version. More seriously, I don't think computer scientists are particularly worse than average on this front.
          $endgroup$
          – Derek Elkins
          Apr 16 at 6:15


















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