"偶発確率"の翻訳 英語に:


  辞書 日本-英語

偶発確率 - 翻訳 :

  例 (レビューされていない外部ソース)

偶数を得る確率です
Similarly for tails, if you took a die
では次に 偶数を得る確率は
So let's cross this out right over here.
つまり 三回偶数を出す確率は イコール
It has no impact on what happens on the next roll.
その発生確率は 37 だな
That happens 37 of the time.
では 毎回ごとの確率から調べていきましょう 偶数が出る確率です
So let's just figure out the probability of rolling it each of the times.
偶数が出る確率です では 問題では三回サイコロを
So there is a 3 over 6 is the same thing as 1 2 probability of rolling even on each roll.
つまりAが発生しない場合で X3を選ばない確率を求めます Aが発生しない場合のX2の確率と Aが発生しない場合のX1の確率
P of not A given the same events, X1, X2, and not X3, which resolves to P of not X3 given not A,
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
3回とも偶数が出る確率を調べましょう では 毎回ごとの確率から調べていきましょう
Find the probability of rolling even numbers three times using a six sided die numbered from 1 to 6.
確率は
What are the odds?
1回目の偶数の出目を出す確率 そして六面サイコロで 偶数を出す確率 ここにあるのと同じです それに これを再び掛けるのです
So the probability of rolling even three times is equal to the probability of an even roll one time, or even roll on six sided die this thing over here is equal to that thing times that thing again.
偶発的な事故だ
Just an accident.
この統計的な確率の低さから生じているのです 偶然に発生するには 生物は複雑すぎる
The standard creationist argument there is only one they're all reduced to this one takes off from a statistical improbability.
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
確率的に一発に泣いた 今の自分たちの国
Didn't I tell you not to come here?
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.
偶発誤差による値
Values given over accidental errors.
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
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.
条件付き確率表によると50 の確率で曇りで 50 の確率で曇りません
In this case, there's only one such variable, Cloudy.
ですが aとbの確率は イコール bを条件とするaの確率 掛ける bの確率と aを条件とするbの確率イコール
least maybe it doesn't make intuitive sense just yet, but I showed you that the probability of a and b is equal to the probability of a given b times the probability of b.
センサ確率と動作確率は私が適当に決めます
The motions don't move at all, move right, move down, move down, and move right again.
確率 ベイズの定理 そして全確率の定理を学び
You wrote an algorithm that implements what's called Markov localization.
rの確率が0 9で rと tの確率も0 9なので
For example, in the last row we have a r and a t. r is 0.9.
フィル 違う確率は
Including Richard Kimble.
確率変数Yを
Let's think about another one.
確率変数Zを
Let's do another example.
確率変数Xを
So we're not using this definition anymore.
確率密度関数
So it's the area from minus infinity to x of our probability density function.

 

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