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第十届国际知识发现与信息检索会议（10th International Conference on Knowledge Discovery and Information Retrieval）
第十届 国际知识发现 信息检索 会议
2018/1/22
Knowledge Management (KM) is a discipline concerned with the analysis and technical support of practices used in an organization to identify, create, represent, distribute and enable the adoption and ...
Controlling the False Discovery Rate via Knockoffs
Variable selection false discovery rate (FDR) sequential hypothesis testing martingale theory permutation methods Lasso
2015/6/17
In many fields of science, we observe a response variable together with a large number of potential explanatory variables, and would like to be able to discover which variables are truly associated wi...
Non-linear dimensionality reduction: Riemannian metric estimation and the problem of geometric discovery
Non-linear dimensionality reduction Riemannian metric estimation the problem geometric discovery
2013/6/14
In recent years, manifold learning has become increasingly popular as a tool for performing non-linear dimensionality reduction. This has led to the development of numerous algorithms of varying degre...
Estimation of False Discovery Proportion with Unknown Dependence
Approximate factor model large-scale multiple testing dependent test statistics un-known covariance matrix false discovery proportion
2013/6/14
Large-scale multiple testing with highly correlated test statistics arises frequently in many scienti?c research. Incorporating correlation information in estimating false discovery proportion has att...
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization
Structural Functional Discovery Dynamic Networks Non-negative Matrix Factorization
2013/6/17
Time series of graphs are increasingly prevalent in modern data and pose unique challenges to visual exploration and pattern extraction. This paper describes the development and application of matrix ...
Monotone false discovery rate
adaptive decision rule false discovery rate empirical Bayes methods mode matching isotonic regression
2013/6/14
This paper proposes a simple procedure to obtain monotone estimates of both the local and the tail false discovery rates that arise in large-scale multiple testing. The proposed monotonization natural...
False Discovery Rate Control under Archimedean Copula
Clayton copula exchangeability Gumbel cop-ula linear step-up test multiple hypotheses testing,p-values
2013/6/14
We prove that the linear step-up procedure $\vp^{LSU}$ considered by Benjamini and Hochberg (1995) controls the false discovery rate (FDR) in the case of dependent $p$-values whose dependency structur...
Ensembling Classification Models Based on Phalanxes of Variables with Applications in Drug Discovery
classification ranking ensemble random forest cluster pha-lanx
2013/4/28
We have proposed an ensemble method which aggregates over clusters of predictor variables. We form the clusters (we call phalanxes) by joining variables together. The variables in a phalanx are good t...
Topic Discovery through Data Dependent and Random Projections
Topic Discovery through Data Dependent and Random Projections
2013/4/27
We present algorithms for topic modeling based on the geometry of cross-document word-frequency patterns. This perspective gains significance under the so called separability condition. This is a cond...
Convergence rate of Markov chain methods for genomic motif discovery
Gibbs sampler DNA slow mixing spectral gap multimodal
2013/4/27
We analyze the convergence rate of a simplified version of a popular Gibbs sampling method used for statistical discovery of gene regulatory binding motifs in DNA sequences. This sampler satisfies a v...
A Holistic Framework for Knowledge Discovery and Management
the discovery and management of information holistic framework knowledge management exploiting technologies
2011/10/29
The article discusses the discovery and management of information. The authors propose an integrated, holistic framework for knowledge management that is composed of interdependent modules meant to pe...
On false discovery rate thresholding for classification under sparsity
false discovery rate thresholding classification under sparsity
2011/7/6
We study the properties of false discovery rate (FDR) thresholding, viewed as a classification procedure. The "0"-class (null) is assumed to have a known, symmetric log-concave density while the "1"-c...
Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions
Bayesian false discovery rate confidence distribution empirical Bayes
2011/7/6
Multiple comparison procedures that control a family-wise error rate or false discovery rate provide an achieved error rate as the adjusted p-value for each hypothesis tested.
Topology Discovery of Sparse Random Graphs With Few Participants
Topology Discovery Sparse Random Graphs End-to-end Measurements Hidden Nodes Quartet Tests
2011/3/25
We consider the task of topology discovery of sparse random graphs using end-to-end random measurements (e.g., delay) between a subset of nodes, referred to as the participants. The rest of the nodes ...
An empirical Bayes mixture method for effect size and false discovery rate estimation
Empirical Bayes false discovery rate effect size estimation
2010/10/19
Many statistical problems involve data from thousands of parallel cases. Each case has some associated effect size, and most cases will have no effect. It is often important to estimate the effect siz...