Displaying 4 results from an estimated 4 matches for "tempbb".
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tempb
2012 Jul 03
2
EM algorithm to find MLE of coeff in mixed effects model
...b.array is all values of bi_k and bi_j for b_i
b.list=list()
for (i in 1:n)
{
b.list[[i]]=t(t(halfb)+miu.m[i,])
}
#generate a list, each page contains Xi,yi,Zi,
data.list=list()
for (i in 1:n)
{
data.list[[i]]=list(Xi=Xi,yi=y.m[i,],Zi=Zi,b=b.list[[i]])
}
#update sigma^2
t1=proc.time()
tempaa=c()
tempbb=c()
for (j in 1:n)
{
#tempaa[j]=Eh4new(datai=data.list[[j]],weights.m=weights.mat,beta=beta.old)
tempbb[j]=Eh4newv2(datai=data.list[[j]],weights.m=weights.mat,beta=beta.old)
}
var.new=mean(tempbb)
if (ECM==T){var.old=var.new}
sumXiXi=matrix(rowSums(sapply(data.list,function(s){t(s$Xi)%*%(s$Xi)}))...
2012 Jul 03
0
need help EM algorithm to find MLE of coeff in mixed effects model
...b.array is all values of bi_k and bi_j for b_i
b.list=list()
for (i in 1:n)
{
b.list[[i]]=t(t(halfb)+miu.m[i,])
}
#generate a list, each page contains Xi,yi,Zi,
data.list=list()
for (i in 1:n)
{
data.list[[i]]=list(Xi=Xi,yi=y.m[i,],Zi=Zi,b=b.list[[i]])
}
#update sigma^2
t1=proc.time()
tempaa=c()
tempbb=c()
for (j in 1:n)
{
#tempaa[j]=Eh4new(datai=data.list[[j]],weights.m=weights.mat,beta=beta.old)
tempbb[j]=Eh4newv2(datai=data.list[[j]],weights.m=weights.mat,beta=beta.old)
}
var.new=mean(tempbb)
if (ECM==T){var.old=var.new}
sumXiXi=matrix(rowSums(sapply(data.list,function(s){t(s$Xi)%*%(s$Xi)})...
2017 Jun 28
2
About the concept of "materialization"
...// F may not have materialized its initializer. In that case, create a
// dummy basic block for now, and replace it once we've materialized all
// the initializers.
BasicBlock *BB;
if (F->empty()) {
DelayedBBs.push_back(DelayedBasicBlock(BA));
BB = DelayedBBs.back().TempBB.get();
} else {
BB = cast_or_null<BasicBlock>(mapValue(BA.getBasicBlock()));
}
return getVM()[&BA] = BlockAddress::get(F, BB ? BB : BA.getBasicBlock());
}
Thanks,
Pei
On 6/28/17, 10:59 AM, "陳韋任" <chenwj.cs97g at g2.nctu.edu.tw> wrote:
2017-06-29 1:5...
2017 Jun 28
2
About the concept of "materialization"
Bruce,
Thanks for the explanation. But based on my inspection on the source code, it seems that materialization is related to lazily reading LLVM objects (Module, Function, etc.) into the memory from bitcode files, which is possibly useful during LTO. I’m not sure though.
Pei
From: <bruce.hoult at gmail.com> on behalf of Bruce Hoult <bruce at hoult.org>
Date: Wednesday, June 28,