GMM may be for fitting problems.

Today, I learned about how to build a GMM in mATLAB.

Summary:

I knew how to use the GMM to fit data, but it may not be able for prediction.

GMM is used to fit data using several gaussian distributions. People can obtain parameters of these gaussian distributions from raw data, but it is about the fitting problem.
For now, I did not see any application of GMM similar to our problem.

Tomorrow, maybe we can have a talk about GMM.

continue to learn about the model

Today, I continued to learn about the model.

Summary:

I am learning how to build the model in Matlab.

Tomorrow, I will continue to build the model.

develop the gaussian mixture model

Today, I learned about the gaussian mixture model.

Summary:

I started to build the gaussian mixture model.

Tomorrow, I will continue to develop the model.

finish improving ATCE paper proposal

Today, I finished improving ATCE paper proposal.

Summary:

I sent you by an email.

Next week, I will start to work on sonic log paper.

improve two abstracts

Today, I improved two abstracts.

Summary:

I am now working on the ATCE paper proposal and SPWLA abstract.

Tomorrow, I will try to finish them.

finish the TGRS paper and start to write ATCE paper proposal

Today, I finished the TGRS paper and started to write ATCE paper proposal.

Summary:

I am now writing the ATCE paper proposal on sonic logs.

Tomorrow, I will try to finish the paper proposal.

continue to improve the paper

Today, I continued to improve the TGRS paper.

Summary:

I am now working on improving the sensitivity to noise in data.

Tomorrow, I will try to finish the TGRS paper.

continue to improve the TGRS paper

Today, I continued to improve the TGRS paper.

Summary:

I am now coding for re-ranking for all inputs to decide the number of inputs kept when accuracy drop does not exceed 10%.

Tomorrow, I will continue to improve the TGRS paper.

continue to improve the TGRS paper

Today, I continued to improve the TGRS paper.

1.22-1.26
finish the TGRS paper, submit the abstract for SPWLA

1.29-2.2
build the gaussian mixture model and compare it with other models

2.5-2.9
test the best model in another well

2.12-2.16
write the draft of sonic log paper

2.19-2.23
improve and finish the sonic log paper

Next week, I will continue to improve the TGRS paper.

finish the PPT and start to work on TGRS paper

Today, I finished the PPT and started to work in TGRS paper.

Summary:

I will send the PPT to Dr. Deepak and Dr. Wu tomorrow morning.
I will improve the abstract for SPWLA after you review it.

Tomorrow, I will continue to work on the TGRS paper.

finish the abstract for SPWLA

Today, I finished the abstract for SPWLA.

Summary:

I sent you by an email.

Tomorrow, I will make the ppt and improve the abstract.

finish checking the innovation and start to write the abstract

Today, I finished checking the innovation of the method in the second paper and start to write the abstract for SPWLA.

Summary:

I did literature review and did not find any paper using the same method as mine. I think it is innovative.

I start to write the abstract for SPWLA. I will try to finish it tomorrow and send it to you.

Tomorrow, I will continue to write the abstract for SPWLA.