1 Introduction During the instance-specific macro learning experiments [1], we faced a problem in which there was no significant difference between the perfect model and the other models / macro sets. I thought initially that learning in general is not useful. But then I realized that this problem was caused partially by the way I collect data. The test examples were so easy to capture any significant difference in performance between the models. So, we need to make the test instances harder to solve in general. It is also possible to fall in the other extreme, which is making the problems too hard to the point where no model can solve most of the instance. Practically, for a test instance to be considered, I think I should fix a lower bound on the runtime of the empty set and an upper bound on the runtime of the perfect model in order to have a clear view of the differences between the models/macro sets. 2 Details We need to find hard-enough instances to test the macro performance. It is essential that the instances that I test are hard, because otherwise the differences in models performances might not be clear. This is easy to check: if the problem is really easily solvable on the empty set, I should not include it in the results. So I add a lower bound on the time of the empty set: T(i,m0) > MinTime But is this assumption correct? If we set this in advance before running the experiment, then maybe it is okay. My argument is: putting in mind that we want to measure the significance in the difference of performance between the models/macro sets, and given that the process switching time of current operating systems is non zero, we should make such an assumption. This is because there will be a small ove... ... middle of paper ... ...h instances, and it was hard to avoid generating such instances for the test. It is not possible to completely control the output of a random problem generator, and the mprime problems were either relatively easy or extremely hard. So, the only way I found to make things more fair in the comparison was to apply the upper bound on the perfect model as discussed above. This method was very effective in showing that the perfect model is superior compared to the other macros/model. Because in many of the instances where not every macro set timed out, the perfect model (or the imaginary best prediction model) solved the problem in a fraction of a second, where most of the other macros solved it in more than 50 minutes! This showed that removing the flawed information entries gave us a clearer picture and a more fair view of the power of instance-specific macros.
“The word perfection cannot be defined into one person or one thing. Perfection can only be told or seen in a first person view. No one will genuinely think something or someone is as perfect as another person, it’s impossible to see eye to eye with something that is as powerful and subjective as perfection.” - Jordan van der neut, 2014
Over the centuries, mankind has tantalised itself with the prospect of a perfect world. These
The argument posited by Sider (S1) can be seen as an argument by elimination, where the premises if accepted, reject the possibility of S2 and S3. As such, the argument suffers from whether the re...
Perfection is what many people attempt to achieve in there lives, yet none do. It is the ideal result to the hard work and toil each person does, in order to become greater than they are now. Within literature, characters may seem perfect but upon closer inspection, are deeply flawed. This is the case in the three pieces of literature; Oedipus the King, My Last Duchess, and Death of a Salesman. All three of these prove that fact that “Perfection is like a dream. When people finally see the flaws, they wake up and the dream ends.”
...that can foil even the best plans. Perfection does not have a single definition, “The act of making something perfect or better”-Merriam Webster. It is up to each individual to decide whether he or she achieved perfection in their job, and the bar to determine that is similarly different for each individual. In the end when the task has been completed individuals shouldn’t necessarily ask themselves if they were perfect, they should ask themselves how they can improve from their experience. Achieving perfection is a constant chase, when one thinks they were perfect they must also realize that they could have been better. When an individual thinks they are perfect, they have given up on the chase for perfection. “Better is possible. It does not take genius. It takes diligence. It takes moral clarity. It takes ingenuity. And above all, it takes a willingness to try.”
one noticed the problem while it was happening, but now that it is a problem
Perfection is much like the lottery; many people will strive for it with the hopes of attaining their ultimate goal, only to realize that reaching it is nearly impossible. However, unlike the lottery, there is not even the slightest chance of winning the final prize. To be completely perfect is an impossible feat, and the more attempts made to reach a status of “perfection”, the more let down a person will be. The quality of complete perfection is unobtainable and unreasonable, yet many cultures and certain groups of people take pride in being known as perfectionists. This reach for the impossible can be seen in the strict code followed by all knights during the feudal time period. Sir Gawain in the late
A problem can be defined as subject of concern between what is desired and what an actual situation is there, which makes it difficult to achieve a desired goal, purpose. A solution of a problem is an act performed in order to reduce the effects of the current situation and which gives direction to accomplish the goal or objective.
Perfection? Can any one person be perfect? Benjamin Franklin believed that he could accomplish this task. Benjamin Franklin was known for being a cognizant and diligent perfectionist. During his lifetime, many people were concerned with correcting themselves of any fault that they may have had. Benjamin Franklin did have an interesting way to proclaim how he, could show everyone how to be perfect. He believes that he can make himself perfect. Even though his ways of being perfect are not the same as everyone else's ideas, he still tries to show them he can be perfect. In his essay "Arriving at Perfection" Benjamin Franklin tries to tell everyone how he will be perfect and how he is going to actually accomplish this task.
“Problems are often open-ended, paradoxical, and sometimes unsolvable, and require investigation before one can come close to a solution” (Zeitz x). When problems in a field can be defined as “open-ended, paradoxical, and sometimes unsolvable,” (Zeitz x) one might be able to reasonably assume that the field is difficult to conceptualize. Problem solving is a field of mathematics specifically designed around solving mathematics-related problems in competitions. Unlike the academic competitions seen in movies like “Mean Girls” or on trivia shows like “Jeopardy,” math competitions like The William Lowell Putnam Mathematical Competition are more akin to taking a test, where contestants write out proofs to complex
Therefore, they must be able to identify problems and opportunities and determine the most appropriate action. This involves both problem-solving and decision-making skills. The major difference between the two processes is that the first step in problem solving involves identifying the root cause of the problem; whereas the first step in decision making is simply to recognize a decision is needed. Nevertheless, the same basic process is effective for both decision-making and problem-solving. This process includes identifying the root cause of the problem or recognizing a decision is needed, gathering information, developing and selecting a solution, creating and implementing an action plan, and evaluating and monitoring
In attempting to fix one problem, another problem could be worsened. Similarly, there are times when 2 problems are simultaneously solved, but the gamble is what lessens the potency of working out issues. An example can be taken from the issue of the nation’s recession. A proposed solution could be to simply print more money from the U.S. Mint, but this decreases the value of the dollar. So while problems, canonically, have simple solutions, they're more complicated than they seem.
A description of the nature of the problem, including facts relating to such problem; and
Most people have indulged in the perfect wine, made love to the perfect person while possibly wearing the perfect outfit. Or have they? Is there a such thing as perfection, if so can we attain it? No. Nothing in this world is perfect because it is impossible to create perfection. According to Plato's Theory of Forms, perfection cannot exist in the physical world but only the realm of the philosophers; the ones who choose to lurk deeper in the veiled mysteries of metaphysics.
...nd make similar problem situations, and then, they provided the students with a little bit of practice because practice makes perfect! After that, teachers may put the students on the situation given just now.