Hemant Ishwaran
Hemant Ishwaran
The effect of a splitting rule on random forests (RF) is systematically studied for regression and classification problems. A class of weighted splitting rules, which includes as special cases CART weighted variance splitting and Gini index...
Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test [0.03%]
基于数字时钟绘图测试中微妙行为的认知状况分类模型学习
William Souillard-Mandar,Randall Davis,Cynthia Rudin et al.
William Souillard-Mandar et al.
The Clock Drawing Test - a simple pencil and paper test - has been used for more than 50 years as a screening tool to differentiate normal individuals from those with cognitive impairment, and has proven useful in helping to diagnose cognit...
John K Williams
John K Williams
Atmospheric turbulence poses a significant hazard to aviation, with severe encounters costing airlines millions of dollars per year in compensation, aircraft damage, and delays due to required post-event inspections and repairs. Moreover, a...
Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning [0.03%]
时空关系学习在恶劣天气理解和预测中的应用研究
Amy McGovern,David J Gagne nd,John K Williams et al.
Amy McGovern et al.
Severe weather, including tornadoes, thunderstorms, wind, and hail annually cause significant loss of life and property. We are developing spatiotemporal machine learning techniques that will enable meteorologists to improve the prediction ...
A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing [0.03%]
统一的统计方法在非负矩阵分解和概率潜在语义索引中的应用
Karthik Devarajan,Guoli Wang,Nader Ebrahimi
Karthik Devarajan
Non-negative matrix factorization (NMF) is a powerful machine learning method for decomposing a high-dimensional nonnegative matrix V into the product of two nonnegative matrices, W and H, such that V ∼ W H. It has been shown to have a par...
Detecting Inappropriate Access to Electronic Health Records Using Collaborative Filtering [0.03%]
基于协同过滤的电子健康记录不恰当访问检测方法研究
Aditya Krishna Menon,Xiaoqian Jiang,Jihoon Kim et al.
Aditya Krishna Menon et al.
Many healthcare facilities enforce security on their electronic health records (EHRs) through a corrective mechanism: some staff nominally have almost unrestricted access to the records, but there is a strict ex post facto audit process for...
Zhanglong Ji,Charles Elkan
Zhanglong Ji
This paper analyzes a novel method for publishing data while still protecting privacy. The method is based on computing weights that make an existing dataset, for which there are no confidentiality issues, analogous to the dataset that must...
Vikas Singh,Lopamudra Mukherjee,Jiming Peng et al.
Vikas Singh et al.
In this paper, we study the ensemble clustering problem, where the input is in the form of multiple clustering solutions. The goal of ensemble clustering algorithms is to aggregate the solutions into one solution that maximizes the agreemen...
Informing sequential clinical decision-making through reinforcement learning: an empirical study [0.03%]
基于强化学习的序贯临床决策方法实证研究
Susan M Shortreed,Eric Laber,Daniel J Lizotte et al.
Susan M Shortreed et al.
This paper highlights the role that reinforcement learning can play in the optimization of treatment policies for chronic illnesses. Before applying any off-the-shelf reinforcement learning methods in this setting, we must first tackle a nu...
Jianzhong Chen,Stephen Muggleton,José Santos
Jianzhong Chen
We revisit an application developed originally using abductive Inductive Logic Programming (ILP) for modeling inhibition in metabolic networks. The example data was derived from studies of the effects of toxins on rats using Nuclear Magneti...