机器学**的求解过程可以看作是在假设空间中搜索一个具有**泛化能力和高鲁棒性的学**模型,
而在假设空间中寻找合适模型的过程是较为困难的. 然而, 集成学**作为一类组合优化的学** …

Open information extraction from the web Page 1 68 communications of the acm | december
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …

The process of solving machine learning can be regarded as searching for a learning model
with strong generalization ability and high robustness in the hypothesis space, and it is more …

Financial fraud can have serious ramifications for the long-term sustainability of an
organization, as well as adverse effects on its employees and investors, and on the …

The inherent instability of wind power production leads to critical problems for smooth power
generation from wind turbines, which then requires an accurate forecast of wind power. In …

In machine learning (ML), ensemble methods-such as bagging, boosting, and stacking-are
widely-established approaches that regularly achieve top-notch predictive performance …

Abstract Traditional Information Extraction (IE) takes a relation name and hand-tagged
examples of that relation as input. Open IE is a relationindependent extraction paradigm that …

We consider voting under metric preferences: both voters and alternatives are associated
with points in a metric space, and each voter prefers alternatives that are closer to her to …

Crop prescription data contains an extensive amount of information on crops, environment
and pests, and has notable diagnostic capabilities. At present, there is lack of feasible …

Introduction: This study aims to increase the prediction accuracy of crash frequency on
roadway segments that can forecast future safety on roadway facilities. A variety of statistical …