In machine learning terms, reasoning in legal cases can be compared to a lazy learning approach in which courts defer deciding how to generalize beyond the prior cases until the facts of a new case are observed.
In machine learning terms, the task is to approximate the hidden function (h j,i)) with a function (hat{h}:mathbb{R}^{U} timesmathbb{R}^{U} rightarrowmathbb {R}), where (hat{h}(mathbf {x_{j}},mathbf {p_{i}})) is the estimation of the relevance of user j with political party i. Typically (hat{h}(mathbf {x},mathbf {p})in[0,1]).
Specifically, a machine learning correction term can be used with many DFT functionals.
This paper presents a novel machine learning method, termed support vector machine (SVM), to obtain a global optimization model in conditions of large project dimensions, small sample sizes and non-linearity.
AI and machine learning are terms that get thrown around a lot — Smullen acknowledged that Pypestream didn't need "to go all the way down the road of deep learning like Watson or Cortana," but he said the system is smart enough to handle most tasks without human involvement.
In this study, a highly successful machine learning technique termed as a Support Vector Machine was used.
Machine learning is the term that HR departments, benefits managers, and employee relations experts use to explain how computers can be programmed to sort through massive amounts of data on resumes to highlight those individuals who most likely will fit a company's profile.
Based on our own interviews with experts in academia, at commercial research labs, and in product groups at Silicon Valley giants and startups, we think machine learning's near-term effect on marketing is greatly underappreciated, in terms of both opportunity and threat.
The summary of benchmarks related to machine learning techniques in terms of accuracy of classification is listed in the Table 2.
They also produced a set of rules to model offensive content, showing an improvement on standard machine learning approaches in terms of a much-reduced false negative rate.
