The term robustness is ubiquitous in modern Machine Learning (ML). However, its meaning varies depending on context and community. Researchers either focus on narrow technical definitions, such as adversarial r
Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a testing data set (i.e., generalizing). In this work, we provide a comprehensive study of generalization performance in QML ...
Generalizing is finding pattern in order to not overfit. See Evaluation A good generalization helps us to see the meaning of each feature, and puts the whole into a broader perspective.Terry Gannon Documentation / Reference wiki/Overfitting Introduction to Data Science - University of Washingto...
knowledge and strategies from past experience to new experiences, is one of the primary desiderata for models of natural language processing (NLP), as well as for models in the wider field of machine learning1,2. For some, generalization is crucial to ensure that models behave robustly, reliabl...
However, medical notes can vary significantly within and across health systems, meaning that models trained on these data may perform poorly when tasked with analyzing clinical notes from other sources. This phenomenon is known as “dataset shift,” and it can create safety concer...
We illustrate relevant predictions made by the different hypotheses in Fig.2c. The top row illustrates the alternative hypothesis that forward model recalibration may not generalize at all to overground walking—meaning it would neither influence the walking pattern nor wash out overground. This hypothe...
stationarity:A property of data in a data set, in which the data distributionstays constantacross one or more dimensions. Most commonly, that dimension istime, meaning that data exhibiting stationarity doesn't change over time. For example, data that exhibits stationaritydoesn't changefrom September...
On account of the meaning of the particle only, we can see that it is also one of the two readings of the statement: In what is alike, there is only the presence [of the reason] where the particle only is inserted into the predicate position. n⋅nāga eliminates this unwanted ...
in bothaandb) was the most common output for both people and MLC, translating the queries in a one-to-one (1-to-1) and left-to-right manner consistent with iconic concatenation (IC). The rightmost patterns (in bothaandb) are less clearly structured but still generate a unique meaning ...
Note that the above expectation is taken over Z1n and Zn+1, meaning that we are interested in the performance of an algorithm rather than the performance of the specific decision function it yields on the data at hand. Dietterich (1998) has introduced a taxonomy of statistical ques- tions ...