uberpool estimate

: new information; the other is the prediction error in the State update process (which has been hidden in the projection process but not noticed). Let's look at the relationship between them. Based on the measurement equations of all the observed values Y (1),..., y (n-1) and the system, we can obtain the Minimum Mean Square estimate of the observed values Y (n ). \ [\ Hat y (N | {Y _ {n-1}) = C (n) \ hat x (n | {Y _ {n-1 }}) \] Therefore, the new in

CBO well and maximize the efficiency of SQL statements, the timeliness of statistical data must be ensured. Statistical information can be generated using the full calculation method and sampling estimation method. SQL example: Full calculation method: Analyze table ABC compute statistics;Sample estimation method (sample 20%): Analyze table ABC estimate statistics sample 20 percent; The full Calculation of a table takes the same time as a full table

In mathematical statistics, the total x we have seen is generally unknown. Even if, according to previous experience and data, X obeys that type of distribution, its numerical characteristics (such as mathematical expectation, variance, moment) are unknown. These unknown numeric characteristics and the unknowns contained in the total x are called unknown parameters (parameters). In order to estimate the true value or the interval of the unknown functi

a card to represent his estimation of time (expressed in the form of a story point) and deducts it from the front to the table. When everyone completes, the cards on the table will be uncovered at the same time. In this way, everyone is forced to think about themselves, rather than relying on others' estimation results. If there is a huge difference between the two estimates, the team will discuss this and try to reach consensus on the story content. They may break down the task and re-

charter, which should include recording business needs, understanding of customer needs, the purpose of the project, success criteria, project description, major risks, progress plans, overall budget, delegated project managers, and power distribution. Identify stakeholders: the stakeholders are actually affected by the project. This process is to understand them and record their interests, participation and influence on project success. NextPlanningThis step should include the following

When function module: kbpp_extern_update_co is used for cj41, the budget estimate cannot be completely updated, indicating that the budget estimate is smaller than the existing budget estimate. This problem is also mentioned in other blog posts. In short, if you want to update all estimates at a time, there is no chance of success. Analyze the cause of the prob

is not very easy to say that it is time to add time, A lot of work is not done yet (the project team has been working on the night shift for several days). Let's demonstrate to the customer and tell the customer about it, then let's improve it again (the customer will also ask for new requirements), so we don't know when to perfect it. When the project was mentioned, the developer scolded the customer and the customer scolded the developer as an asshole. I do not know how to

1. Activity 2. Activity Definition 3. activity description/description, AD = activity description 4. Estimation of Activity Duration, Activity Duration estimating 5. Arrow Line Network Diagram (dual-code network diagram), AoA = activity-on-Arrow 6. node network diagram (single-code network diagram), Aon = activity-on-node 7. Actual cost of executed work, acwp = actual cost of work completed MED 8. actual completion date, AF = actual finish date 9. Actual start date, as = actual start date 10. A

best at this stage, not necessarily the global best. It is better to give priority to a more intelligent node. When searching, the node is not discarded (unless the node is a dead node ), in the evaluation of each step, the current node and the previous node are compared to get an "Best node ". This effectively prevents the loss of "best node. So what kind of algorithm is a * algorithm? In fact, the * algorithm is also the best priority algorithm. Only some constraints need to be added. When so

There are many optional gather _ *** _ stats in Dbms_stats. For example, cascade/estimate_percent, You can manually modify its default value.10G provides set_param for modification, but it can only be used for global modification. 11G provides a lot of details, including the table/schema level.The following is a separate verification:1 10gSQL> select * from v $ version;BANNER----------------------------------------------------------------Oracle Database 10g Enterprise Edition Release 10.2.0.5.0-

Problem:In VC6, this code goes through, and the executable:: Setdlgitemtext (AfxGetMainWnd (), m_hwnd,idc_time,strtime);(This is the dialog in the program, the code in a global thread function, set the contents of an edit box).?But the same code, the same programming environment in the VC8, this code is not OK. First is the run error (compile also can), I estimate the first parameter may be the problem, and because this is a global function in the cod

referring to the training samples and while our real prob Lem of machine learning are the estimate the unobserved behaviours in the test dataset. There is a problem of overfitting, which occurs when the training samples was not enough. The overfitting problem occurs when the training samples are small and thus the model fit the training samples but lack of Generalisation (achieving poor performance for the test dataset). exactly as what I thought, th

To make this article get treatise and ask questions, reprint please indicate the source:Http://blog.csdn.net/nomaspEmail and Skype:[email protected]Facebook:https://www.facebook.com/yuwang.keCSDN Blog: http://blog.csdn.net/nomaspSina Weibo: http://weibo.com/nomasp Exercise 3-5 OriginalExercise 3.5. Monte Carlo integration is a method of estimating definite integrals by means of Monte Carlo simulation. Consider computing the area of a region of space described by a predicate P (x, y) that's

A seasoned project manager who used to work with me claims that when he gets the programmer's time estimate, it is multiplied by PI and then converted to the next order of magnitude to get the real value. 1 days into 3.14 weeks. He used to suffer because programmers were not good at estimating time.　　I created a table to translate programmer time estimates to minimize estimation errors. Time estimation is difficult. Each programmer has a realistic

, the first two people only see the other side of the head of the Black hat, not sure of their color, but to the second turn off the lights, these two people should understand that If you wear a white hat, the other side should have slapped on the face in the last time, so they are wearing a black hat, so there will be a slap on the ear, but the fact is the third time only sounded the slap sound, indicating that there are more than two black hats, and so on, should be closed several times the li

limited, and the human desire is infinite, want to do well, a period of time, only dare one thing, focus can be efficient. In this chapter of time management, there are logical processes for scheduling schedules: Defining activities, sequencing activities, estimating activity resources, estimating activity durations, making progress plans, and finally controlling progress throughout the process. The tool that defines the activity has a decomposition, rolling plan, and the output has a list of a

Factor analysis (Factor analyst) "PDF version" factor analysis1 questionsIn the training data we considered before, the number of M in the sample is much larger than the number of its features n, so that no matter the regression, clustering and so on are not too big problem. However, when the number of training samples M is too small, even mThe parameter estimation formula for multivariate Gaussian distribution is as follows:Is the formula for mean and covariance, representing the sample, a tota

What we're going to talk about today is the EM algorithm. At first sight of EM I thought of my big maple brother, em Master, maxima, RUA!!! I wonder if anyone reading this blog understands the stem. Ok, so to speak, today's EM algorithm, the full name is expectation maximization, the expectation maximization. What is the meaning of this is to give you a bunch of observational samples that give you an estimate of the parameters of the model. Oh, my gos

, there can be multiple sets of different and C values that allow J to get the minimum value, but this phenomenon is actually very rare).Because the distortion function j is a non-convex function, it means that we can not guarantee that the minimum value obtained is the global minimum, that is to say, k-means the initial position of the heart to choose a cold, but in general, K-means to achieve the local optimal has satisfied the demand. But if you are afraid of getting into the local optimal, t

1 PrefaceIn the previous blog, we analyzed the Monte Carlo method, a feature of which is the need to run a complete episode to obtain accurate results. But often a lot of scenes to run a full episode is very time-consuming, so can you still follow the path of Bellman equation, estimate the result? Also, note here, still model free. So what is the way to do it? is the TD (Temporal-difference time difference) method.There is a noun to note: boostraping.