is the adversarial system better than the inquisitorial?
531445
The adversarial system, because of competition between litigants, also minimizes Type I and Type II errors and lends itself better to the discovery of facts. Therefore, it may perform better than an inquisitorial system for the first two types of information gathering.
1406795
Gradient Boosting vs Random Forest. ... It has been shown that GBM performs better than RF if parameters tuned carefully [1,2]. Gradient Boosting: GBT build trees one at a time, where each new tree helps to correct errors made by previously trained tree.
115530
Bytes allow us to avoid large softmaxes in languages with large vocabularies, and share representations in multilingual models. We show that bytes are superior to grapheme characters over a wide variety of languages in monolingual end-to-end speech recognition.
88586
The results of both robust NBREG in this study indicate that citations and reads are significantly stronger related to quality (as measured by FFa) than tweets (and the Altmetric attention score). The small correlation with tweets accords to the results of HEFCE [16].
1175994
The simple version of convolutional NN (that can get about 3% error rate) can be implemented in about 2-4 hours, depending on how much are you familiar with it, plus the assumption that you already have a working and flexible implementation of backpropagation. The training time will be quite familiar.
614840
Unnerve is a fine ability - it's just not as good as Mirror Armor with how it interacts with Max Moves. A lot of them drop stats and you get to be immune to them and reflect them back. It also interacts well with Intimidate and other stat-dropping effects.
6503
An inaccurate facial recognition software has the potential to further that disparity; moreover, it could lead to a higher number of mistaken identities due to false matches. Regarding ethics, issues have arisen in areas from necessity, complicity, impartiality, bias, accountability and oversight.
103585
The parameter nu is an upper bound on the fraction of margin errors and a lower bound of the fraction of support vectors relative to the total number of training examples.
1032875
Adam is great, it's much faster than SGD, the default hyperparameters usually works fine, but it has its own pitfall too. Many accused Adam has convergence problems that often SGD + momentum can converge better with longer training time. We often see a lot of papers in 2018 and 2019 were still using SGD.
1464573
yes. It is tree based and thus sensitive to order of values but not actual values. Outliers in target variable are another matter. With many loss functions (such as RMSE/L2) you are necessarily sensitive to outliers.
1319205
Batch gradient descent, at all steps, takes the steepest route to reach the true input distribution. SGD, on the other hand, chooses a random point within the shaded area, and takes the steepest route towards this point. At each iteration, though, it chooses a new point.
604534
In an adversarial system, there is no more controversy and the case proceeds to sentencing; though in many jurisdictions the defendant must have allocution of her or his crime; an obviously false confession will not be accepted even in common law courts.
1113589
Fully Convolutional Networks (FCNs) owe their name to their architecture, which is built only from locally connected layers, such as convolution, pooling and upsampling. Note that no dense layer is used in this kind of architecture. This reduces the number of parameters and computation time.
304901
Instead of promoting the adversarial relationship that traditional or classical argument typically sets up between reader and writer, Rogerian argument assumes that if reader and writer can both find common ground about a problem, they are more likely to find a solution to that problem.
224441
Your proposed "straightforward definition" of co-NP is wrong. For any problem A, we could pick V to be the procedure that ignores its arguments and immediately returns 1. Thus, by your definition, no problems would be in co-NP.
1319454
BFS is better when target is closer to Source. DFS is better when target is far from source. As BFS considers all neighbour so it is not suitable for decision tree used in puzzle games. DFS is more suitable for decision tree.
891855
In addition, according to de Freitas (2018), pragmatic and randomised trials have confirmed that games can be more effective learning tools than traditional modes. Game-based approaches require cross-disciplinarity (de Freitas, 2018) .