Translation of "明確なアップ率" to English language:
Dictionary Japanese-English
明確なアップ率 - 翻訳 :
Examples (External sources, not reviewed)
よってこの確率変数Yは明らかに 連続確率変数です | They are not discrete values. |
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. |
今日と明日の降水確率は20 | Chance of precipitation, about 20 percent today, 20 percent tomorrow. |
彼女は 我々は明確なフィールドを持つものとなるように アップされません | And when will you call? At eight in the morning. |
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 |
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 |
確率変数の2つの種類について説明します 一つは 離散確率変数 | What we're going to see in this video is that random variables come in two varieties. |
なぜなら確率が あなたがお金を得ない確率が | So this bond becomes a Double A bond. |
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. |
確率は | What are the odds? |
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. |
確率変数の種類について説明します | In the next video, we'll continue this discussion and we'll take a little bit about the types of random variables you can have. |
簡単にアップ ダウン アップ ダウン | Up and down in a second. Up, down, up, down... |
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 |
事前確率を元の一様な事前確率に戻します | To change this example even further. |
成功確率 | Probability of success |
失敗確率 | Probability of failure |
その理由は明るい部分を見る確率です | The guys off the lane markings will get a 0.1. So the three guys over here. |
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. |
成功確率 失敗確率です これが分散になります | And we know that our variance is essentially the probability of success times the probability of failure. |
よってこの確率変数は離散確率変数なのです | Those values are discrete. |
求めた確率は 非正規化確率の1 αになります | Then I just normalize. |
PERFECT の確率は0にならず STORM の確率も0になりません | That is not the case for song. |
けど 確率低くない | Okay. |
今からとても有名な確率論の問題を説明します | Now, just one more thing. |
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? |
アップしたらな | When we wrap, eh? |
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. |
同点になる確率は イコール | What's the probability of a tie? |
アップね | Up it is. |
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. |
雨ならば0 4の確率で上機嫌で 0 6の確率で不機嫌です | There's a 0.1 chance I might still be grumpy for some other reason. |
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