search for: overweigh

...gt; > IF (getCompilationCount(method) > 50 in the last 100 samples) = > Recompile at Aggressive > ELSE Recompile at the next optimization level. > > > Even though the invocation counting introduces a few lines of binary, but the advantages of adaptive optimization should far overweigh the extra few lines of binary introduced. Note the adaptive compilation framework I propose here is orthogonal to the LLVM profile-guided optimizations. The profile-guided optimization is a technique used to optimize code with some profiling or external information. But the adaptive compilation fra...

...tatsoft.org paper "Flexmix: A General Framework for Finite Mixture Models and Latent Class Regression in R" and it only mentioned a dataset with balanced repeated measurements - 50 persons with 4 measurements each). When I look at the formula for the loglikelihood of the data, it seems to overweigh individuals with more measurements in an unbalanced design, am I correct in this and are there ways to correct for this? Thanks for the help, Jan Jan Wijffels University Center for Statistics W. de Croylaan 54 3001 Heverlee Belgium tel: +32 (0)16 322784 fax: +32 (0)16 322831 <http://www.ku...

...algorithms developed later. IF (getCompilationCount(method) > 50 in the last 100 samples) = > Recompile at Aggressive ELSE Recompile at the next optimization level. Even though the invocation counting introduces a few lines of binary, but the advantages of adaptive optimization should far overweigh the extra few lines of binary introduced. Note the adaptive compilation framework I propose here is orthogonal to the LLVM profile-guided optimizations. The profile-guided optimization is a technique used to optimize code with some profiling or external information. But the adaptive compilation fra...

...; IF (getCompilationCount(method) > 50 in the last 100 samples) = > Recompile > at Aggressive > ELSE Recompile at the next optimization level. > > > Even though the invocation counting introduces a few lines of binary, but > the advantages of adaptive optimization should far overweigh the extra few > lines of binary introduced. Note the adaptive compilation framework I > propose here is orthogonal to the LLVM profile-guided optimizations. The > profile-guided optimization is a technique used to optimize code with some > profiling or external information. But the adap...

...gt; 50 in the last 100 samples) = > > Recompile > > at Aggressive > > ELSE Recompile at the next optimization level. > > > > > > Even though the invocation counting introduces a few lines of binary, but > > the advantages of adaptive optimization should far overweigh the extra > few > > lines of binary introduced. Note the adaptive compilation framework I > > propose here is orthogonal to the LLVM profile-guided optimizations. The > > profile-guided optimization is a technique used to optimize code with > some > > profiling or exte...

...Count(method) > 50 in the last 100 samples) = > > Recompile at Aggressive > > ELSE Recompile at the next optimization level. > > > > > > Even though the invocation counting introduces a few lines of binary, but > the advantages of adaptive optimization should far overweigh the extra few > lines of binary introduced. Note the adaptive compilation framework I > propose here is orthogonal to the LLVM profile-guided optimizations. The > profile-guided optimization is a technique used to optimize code with some > profiling or external information. But the adap...