There is a paragraph in English that needs to be translated required to be fluent .

Supervised learning is best compared to our knowledge, and we are the RST** learning method that can provide a ranking that requires diversity from two different corpora (i.e. contexts) in each iteration method. Therefore, there is no suitable ** learning baseline comparison. We compare our methods to a batch of learning methods.

In particular, we are more opposed to the methodological-level version proposed in [12], which is a generalization [18]. In this setting, the maximum set for each user seeks the purpose of obtaining the complete documentation of RST 50(20) iterations of RSTv1 (20ng), which are then used to train support vector machines for structure-based supervised learning methods [12] to obtain the weight of the model we trained, utilizing 40 iterations of labels (16) while utilizing the remaining 10(4) to select the optimal value of the C parameter, which is different from 10 to 2 to 10. Then the best model is used to make ** (50) iterations in the next 100.

We can also ** algorithm in the above iteration of 150 (70) to apply the two methods. Note that the web-based method and the supervised learning method use the exact same MAX model for user utility and the exact same file functionality. Since the method of supervision can not ** the top 50 ranking (20) iterations to ensure an unbiased evaluation, we report 100 average regrets (50) iterations i.e. hope it helps you, thank you.

The level is limited, and I don't know if I am satisfied.

Supervision is learning compared to what we have the best knowledge and we are a ** way of learning that can provide a ranking. The argument that a symbolic interoperability from a different corpus (i.e. context) and therefore no proper learning has been countered. In this way, let's make a comparison of our learning methods.

In particular, we compared the method of the first-level version in 12. This is a generalized 18In this setup, for maximum diversity for each user, we get the full documentation, purpose, and relevance labels20

Repeated RVC1 (20 ng) and then using them to train support vector mechanisms based on supervised learning12 to obtain WT. We trained the model to try out labels from 40 (16) repeatedly. The remaining 10 (4) are not used to select the best parameter c.

He is the best parameter. We also run ** algorithm in the 50-70 cut method. Note that both the network method and supervision are learned to use the same user-effective and MAX models for the exact same documentation features.

On a stormy day, crabs walk on the beach. He was surprised to see the lobster ready to sail. "Lobster" said the crab, "it's too dangerous to go on an adventure on a day like this." ”

Maybe," said the lobster, "but I love storms at sea!" "I'll go with you," said the crab. "I won't leave you alone in such danger."

Lobsters and crabs began their journey. Soon they found themselves far from the coast. Their boat was rocked up and down by the crashing waves.

Crab! The lobster shouted, "To me, the waves are shivering!" But they excite me.

I like to try different things. "Lobster, I feel like we're sinking," the crab cried. He began to miss the peaceful life that had once been on the coast.

Yes, we are indeed sinking," said the lobster, "and the old ship is full of holes. Be brave, my dear friend. We can overcome such difficulties. ”

The boat capsized and sank. The crab trembled and was frustrated. The lobster took him for a walk in the sea. "How brave we are," said the lobster, "what a wonderful adventure we had." "The crab started to get excited. He thoroughly enjoyed the adventure and their courage.

The desire to become a master driver and continuous practice can lead to superb driving skills. Many people only look ahead when driving. When practicing driving, remember to pay attention not only to the front, but also to the left and right sides, as this is a guarantee of safe driving.

The driver's seat is not for daydreaming or shopping, and it is not for people who are tired or nervous. Driving requires undivided concentration.

1,each sedes,,,each side？

2,day-reaming,,,day-dreaming3,windou-shopping,,,window-shopping?

Did you see your article from? Probably a typo, the author of this article is not a native English speaker.

A good driver can only be practiced and learned with a strong desire to become a proficient driverMany riders do just look at the hook and driveYou have to train yourself to look not only on the road ahead of you, but also on the higher objects of each sedes, but behind you.

It is very important to drive safely. The driver's seat is not at all suitable for day-reaming or windou-shoppingNor is it a driver or worry one

Drowsy driving a car is a full-time job.