Translation of "second order model" to Japanese language:
Dictionary English-Japanese
Examples (External sources, not reviewed)
| First model walks, second model duplicates, then elaborates. | 片方が踊ったら それを真似する それで付け足していくんだ |
| Aililright! Our second order of business iiiiiiiis..! | 授業... |
| Runge Kutta second order solver from GSL library | ObjectClass |
| But there's a second model for arguing arguments as proofs. | 数学者の議論を考えてください |
| So just to review our terminology, y is the second order because the highest derivative here is the second derivative, so that makes it second order. | 二階なので これは 二階微分方程式です 線形とされるのは何でしょう |
| Adaptive Runge Kutta second order solver from GSL library | ObjectClass |
| Runge Kutta implicit second order solver from GSL library | ObjectClass |
| So what is a linear second order differential equation? | 微分の紹介のビデオで |
| I would like to order one coffee machine (Model 25 A) and have enclosed your order form. | コーヒーメーカー 25 A 一台を注文します 貴社の注文書を同封しました |
| Let's now model a second motion. Say x2 is 5 apart. | 最初のガウス分布に従うノイズよりも 大きくなりますが |
| The second, more honest way is to actually fix the model. | 実際にモデルを修正することです 変化はゆっくり訪れます |
| The second largest is order statistic n 1, and the max is order statistic n. | 順序統計量の概念についてさらに理解してもらうために |
| Adaptive Runge Kutta implicit second order solver from GSL library | ObjectClass |
| You have to make that choice in order to have a complete model. | 確率分布はすべての可能な修正に展開し |
| So second order linear homogeneous because they equal 0 differential equations. | 二階線形斉次微分方程式です これは 特に 面白い |
| The second smallest element in the list is order statistic 2. | 中央値は順序統計量n 2の整数となります |
| And then a distortion model, saying, Each of these phrases, what order would be a good order to put them into? | 順番に見ていきましょう まずは分割モデルです |
| Or as you could call this, a second order ordinary differential equation. | これは2次常微分方程式と言えます 2つ目に これが |
| So this example I just wrote here, this is a second order | 2次の線形常微分方程式です |
| So in the second segment it's gonna be standardized and we'll do model comparisons. | でも最初は基礎的な重回帰分析から入る |
| We'll now move from the world of first order differential equations to the world of second order differential equations. | では 一階から二階の微分に移りましょう では 一階から二階の微分に移りましょう どう意味でしょう |
| Then when people looked more into the model they found that, well, wait a second. | ちょっと待ってください モデルを追いかければ背も伸びるんですか? |
| The second thing we do is actually model the car more detailed than I pretended. | 私の講義ではハンドルを瞬時に任意の 設定点に合わせられると思われたかもしれません |
| So we could call this a second order linear because A, B, and | xのみの関数 あるいは ここでは |
| How many blocks in Model B need to be pink in order to make that happen? | ピンクにしなくてはいけないでしょうか? では図Aを見てみましょう |
| And the we have the distortion model, saying, In what order should we put these phrases? Should we swap them around in any order? | それぞれの句の初めと終わりを見て考えましょう |
| The first shot takes him out of order, and the second finishes him off. | 1発目で動きを止め 2発目で殺せ |
| It turns out that, that type of model doesn't work very well because those second order factors, are correlated themselves, so you still need to incorporate this idea of a general factor. | 未だに 一般的な知能というものがあるというアイデアを 必要とします その結果 人々はこのような種類の構造を 考えるようになりました |
| And we bring that in front of the model in order to light her up, very simple. | ライトアップさせるのです 簡単でしょ それではこの手のライティングの操作方法について ご紹介します |
| Model | モデル camera lens |
| Model | RGB モデル |
| Model | モデル |
| Model | モデル |
| So I'll compare model one to model three and I'll compare model two to model three. | これが最初のモデルからの出力で 予測変数に |
| By now, lets say, I want to take my fit hypothesis, this fifth order model and let's say I want to ask how well this model generalized. | この5次のモデルに 対して このモデルが どれだけうまく一般化されているか知りたいとする |
| The second is anyone can have his own skeleton model and learn his own body through it. | 自分の体を学ぶこと ができます 喫煙者の透明モデルの 肺が真っ黒だったら |
| Mis order! Order! | 政府を信じるか |
| But anyway, these are useful properties to maybe internalize for second order homogeneous linear differential equations. | 二階線形斉次微分方程式の特徴です 二階線形斉次微分方程式の特徴です 次のビデオでは 実際にこれらを応用し |
| For order 1 Markov model, for an order k equals one, then this would be equal to the probability of word i given only word i minus 1. | これはwi ₁だけ与えられた時の wiの確率に等しいでしょう 次に行うのは定常性仮定と呼ばれるものです |
| Printer model | プリンタのモデル |
| Printer Model | プリンタのモデル |
| Atom Model | 原子模型 |
| Camera Model | カメラのモデル |
| UML Model | UML モデル |
| Printer model | プリンタモデル |
Related searches : Order Model - Second Order Theory - Second Order Filter - Second Order Effect - Second Order Factor - Of Second Order - Second Order Term - Second Order Rate - Second Order Function - Model Order Reduction - I Second