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Posted to dev@mahout.apache.org by Sean Owen <sr...@gmail.com> on 2009/10/03 16:12:01 UTC
TLA clarifications
Hi I'm running into several TLAs (three letter acronyms) in the book
outline that I am not sure I know. Help me define:
SVM = Support Vector Machine?
LR = ?
AUC = ?
LDA = Linear Discriminant Analysis?
CBayes = Constrained Bayes? no idea actually
Re: TLA clarifications
Posted by Isabel Drost <is...@apache.org>.
On Saturday 03 October 2009 21:34:16 Ted Dunning wrote:
> In our context, the latent dirichlet allocation is a much higher
> probability interpretation.
A more detailed explanation in our wiki:
http://cwiki.apache.org/MAHOUT/latent-dirichlet-allocation.html
Isabel
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Re: TLA clarifications
Posted by Ted Dunning <te...@gmail.com>.
In our context, the latent dirichlet allocation is a much higher probability
interpretation.
On Sat, Oct 3, 2009 at 10:35 AM, Jake Mannix <ja...@gmail.com> wrote:
> On Sat, Oct 3, 2009 at 7:12 AM, Sean Owen <sr...@gmail.com> wrote:
>
> LDA = Linear Discriminant Analysis?
> >
>
> Of course, LDA can also mean Latent Dirichlet Allocation, but I'm sure
> you were already aware of that, given that we have such an impl in Mahout.
>
> -jake
>
--
Ted Dunning, CTO
DeepDyve
Re: TLA clarifications
Posted by Jake Mannix <ja...@gmail.com>.
On Sat, Oct 3, 2009 at 7:12 AM, Sean Owen <sr...@gmail.com> wrote:
LDA = Linear Discriminant Analysis?
>
Of course, LDA can also mean Latent Dirichlet Allocation, but I'm sure
you were already aware of that, given that we have such an impl in Mahout.
-jake
Re: TLA clarifications
Posted by Ted Dunning <te...@gmail.com>.
Complementary Bayes, I think. More normally Complementary Naive Bayesian.
On Sat, Oct 3, 2009 at 7:50 AM, Vaclav Petricek <v....@gmail.com>wrote:
> > CBayes = Constrained Bayes? no idea actually
>
> not sure - don't know the cotext
--
Ted Dunning, CTO
DeepDyve
Re: TLA clarifications
Posted by Vaclav Petricek <v....@gmail.com>.
On Sat, Oct 3, 2009 at 3:12 PM, Sean Owen <sr...@gmail.com> wrote:
> Hi I'm running into several TLAs (three letter acronyms) in the book
> outline that I am not sure I know. Help me define:
>
> SVM = Support Vector Machine?
yes
> LR = ?
LR = Likelihood ratio but could be Linear Regression, Logistic
Regression depending on context
> AUC = ?
AUC = Area Under (ROC) Curve
ROC = Receiver Operating Characteristic
http://en.wikipedia.org/wiki/Receiver_operating_characteristic
> LDA = Linear Discriminant Analysis?
yes
> CBayes = Constrained Bayes? no idea actually
not sure - don't know the cotext
Venca
Re: TLA clarifications
Posted by Robin Anil <ro...@gmail.com>.
>
>
> > CBayes = Constrained Bayes? no idea actually
>
> Robin?
>
> Complementary Naive Bayes
Re: TLA clarifications
Posted by Isabel Drost <is...@apache.org>.
On Saturday 03 October 2009 16:12:01 Sean Owen wrote:
> Hi I'm running into several TLAs (three letter acronyms) in the book
> outline that I am not sure I know. Help me define:
>
> SVM = Support Vector Machine?
Jepp.
> LR = ?
Probably Logistic Regression - generally used for classification.
> AUC = ?
Area under ROC - ROC - receiver operator characteristic:
http://en.wikipedia.org/wiki/Receiver_operating_characteristic
> LDA = Linear Discriminant Analysis?
Yes.
> CBayes = Constrained Bayes? no idea actually
Robin?
Cheers,
Isabel
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|\ _,,,---,,_ Web: <http://www.isabel-drost.de>
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|,4- ) )-,_..;\ ( `'-'
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Re: TLA clarifications
Posted by Grant Ingersoll <gs...@apache.org>.
On Oct 3, 2009, at 10:12 AM, Sean Owen wrote:
>
> CBayes = Constrained Bayes? no idea actually
Complementary Bayes.