"確率的ノイズ"の翻訳 英語に:


  辞書 日本-英語

確率的ノイズ - 翻訳 :

  例 (レビューされていない外部ソース)

センサ確率を1 0つまりノイズなしにセットしたら
Some have 0.13, but the one over here has a probability of 0.533.
確率論的ですか
Yes or no.
一時的ノイズ低減
Temporal noise reducer
ノイズの比率を変えるようです すなわち どれだけ正確に
Dopamine, I think, changes our signal to noise ratio.
環境は明らかに確率的です
It is continuous that is all measurements are continuous and all actions tend to be continuous.
確率論的動作の場合は 約50 の一定の確率で成功します
In a deterministic action, it obviously succeeds, unless of course we run into a wall.
50 の確率 10 25 の確率 20
Then the value of the state for the action go up would be obtained as follows.
確率
Probability
確率?
Phil, the odds against
確かに能率的かもしれないな
It might be effective.
平均的な確率を伝えました 例えば 癌になる平均確率は30 です
And then we told them the average likelihood of someone like them to suffer these misfortunes.
実際に確率的グラフィカルモデル PGMを使っている
let's first figure out what they might be used for.
これは標準的な確率の定義です
So, this probability is equal to the product over all i of the probability of words of i given all the subsequent words. So that would be from word 1 up to word i 1.
このゲームが確率論的であればイエスを
Please say yes or no.
確率は
What are the odds?
今回は勝ちのセルもあり両方とも確率は0 5です すべての確率の合計は1になります 今度はノイズのあるセンサをモデル化し
What we get is a matrix just like the previous one, but now we have winning grid cells, both of which have a 0.5 probability so that all the probabilities add up to 1.
別の確率を求めてみましょう スパムの確率とハムの確率です
Let's use the Laplacian smoother with K 1 to calculate the few interesting probabilities
成功確率
Probability of success
失敗確率
Probability of failure
EMアルゴリズムはk meansの 確率論的な一般化です
K means is a nice, intuitive algorithm to derive clusterings.
確率論的ですか  部分観測可能ですか
I want to ask you, for each one, which of these properties they exhibit.
環境は確率的かもしれない イエスかノーで
It's continuous in its state and action spaces and its measurement, yes or no?
もう少し一般的に確率を書くしたら
Let me rewrite it.
確率を計算したが 天文学的な数字だ
Once I tried to calculate them, but they're astronomical.
なので 裏になる確率は 100 表の確率
And these are mutually exclusive events, you can't have both of them
確率1 は確率40 よりも極端であり
The smallness of that probability is what we mean by extremity.
実用的かつ効率的な機器を確実に制作しようと
In general we don't try to please the customer here.
正確に1を得る確率 掛ける 3 2を得る確率 3 3を得る確率かな 正確に1を得る確率 掛ける 3 2を得る確率 3 3を得る確率かな ですが 前回の動画を見ていれば
You might say OK, that's the probably of getting exactly 1 times the probability of getting 2 out of 3 plus the probability of getting 3 out of 3.
事後確率を求めるため この出力の確率に事前確率を掛けます
We now apply Bayes rule.
コイン1を選ぶ確率がp0 表が出る確率がp1 1 p0でコイン2を選ぶ確率
And here is my answer. You can really read off the formula that I just gave you.
次に確率変数Xがあり確率は0 2です
What's the probability of the joint X, Y?
95 の確率で
If I pick a random T value, if I take a random T statistic
0.1 の確率で
There's going to be a 10 percent chance you get a pretty good item.
何が確率の...
Now let's have something a little bit more interesting.
確率ですと
Frack the odds.
同じ確率で
Equally possible,
確率変数がある値に等しい確率 とか ある値より大きい(または小さい)確率 あるいは 確率変数が特定の性質を持つ確率
And it makes much more sense to talk about the probability or random variable equaling a value, or the probability that it is less than or greater than something or the probability that is has some property
数学的 工学的 確率的 幾何学的な 問題を含みます 工学的な問題として
This is a book on Optimal Transport, it is a problem involving mathematics, engineering, probability and geometry everything that was said.
ノイズ
Noise
ノイズ
Noise
ノイズ
I'm sorry for this.
AでX3が成立する確率 AでX2が成立する確率 AでX1が成立する確率 Aが成立する確率です
If I keep expanding this, I get the following solution.
Perfect Storm の確率に 映画である確率を掛けて
Thrun As usual, we can resolve this using Bayes' rule.
任意の確率変数Xがあり確率は0 2です
Question 1 In the first question, I'm going to ask you some very basic probability questions.
確率的 なのは これらのモデルは不確実性が大きい場合にも
So that was the word model . What about probabilistic ? The word

 

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