[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-26 Thread 荒木伸夫
Hello. I updated my master thesis (http://ark.qp.land.to/main.pdf). This is a final version. I added a experiment, and I increased the number of matches with GNUGo to 600. It makes the conclusion more certain. My English does not be corrected, sorry. I will practice writing English.

Re: [computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-05 Thread Rémi Coulom
荒木伸夫 wrote: I have considered this, and I think that this may be caused by wrong training model. In my master thesis, I mentioned that the relationship between top 1 accuracy of move prediction and the strength of Monte-Carlo is not simple (I increased the number of matches to 600, and

Re: [computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-05 Thread Don Dailey
Rémi Coulom wrote: 荒木伸夫 wrote: I have considered this, and I think that this may be caused by wrong training model. In my master thesis, I mentioned that the relationship between top 1 accuracy of move prediction and the strength of Monte-Carlo is not simple (I increased the number of

[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-04 Thread 荒木伸夫
Hello, Remi Coulom. Also, even worse than that, for a given set of features, the pattern urgencies computed by MM are not optimal. That is to say, it is possible to manually tweak urgencies and get a stronger program. I have considered this, and I think that this may be caused by wrong

Re: [computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-02 Thread Rémi Coulom
Hi, I would like to confirm your experiments: I have noticed already that adding shapes of radius 4 improves prediction a lot, but does not improve playing strength (from progressive widening). Also, even worse than that, for a given set of features, the pattern urgencies computed by MM

[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-02 Thread 荒木伸夫
Hello. Hi, I would like to confirm your experiments: I have noticed already that adding shapes of radius 4 improves prediction a lot, but does not improve playing strength (from progressive widening). I have not yet tuned progressive widening. This information is helpful for my experiments

Re: [computer-go] Re: Move Prediction and Strength in Monte-Carlo Go Program

2008-02-01 Thread Rémi Coulom
荒木伸夫 wrote: Hello, Coulom. I'm Nobuo Araki. Thank you for reading my thesis. However, this thesis is first version, not final version. Therefore, there are too few experiments. And Mr. Hideki Kato sent me many warnings about this thesis, for example English is too bad. You may be confused

[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go

2008-02-01 Thread 荒木伸夫
Hello. Hi, Sorry for announcing too early. Your English is maybe a bit exotic, but not too difficult to understand. I appreciate your effort to write in English. In the computer science course that I belong to, we have to write master thesis in English (even graduation thesis). Also, I

[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go Program

2008-01-31 Thread 荒木伸夫
Hello, Coulom. I'm Nobuo Araki. Thank you for reading my thesis. However, this thesis is first version, not final version. Therefore, there are too few experiments. And Mr. Hideki Kato sent me many warnings about this thesis, for example English is too bad. You may be confused while reading my

[computer-go] Re: Move Prediction and Strength in Monte-Carlo Go Program

2008-01-31 Thread Hideki Kato
Hi Rémi and all, It's not final version of his thesis, rather it has some (or a lot of :) errors. Please wait for the final version. -Hideki Rémi Coulom: [EMAIL PROTECTED]: Hi, I found the Master Thesis of Nobuo Araki is available online: http://ark.qp.land.to/main.pdf Abstract: Recently in