منابع مشابه
Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors
Complex mechanisms involving genomic aberrations in numerous proteins and pathways are believed to be a key cause of many diseases such as cancer. With recent advances in genomics, elucidating the molecular basis of cancer at a patient level is now feasible, and has led to personalized treatment strategies whereby a patient is treated according to his or her genomic profile. However, there is g...
متن کاملAdaptive B-spline Knots Selection Using Multi-Resolution Basis Set
Adaptive B-spline Knots Selection Using Multi-Resolution Basis Set Yuan Yuan, Nan Chen, Shiyu Zhou a Department of Industrial and Systems Engineering, the University of Wisconsin – Madison b Department of Industrial & Systems Engineering, National University of Singapore c Corresponding author. Email: [email protected] ABSTRACT B-splines are commonly used in the Computer Aided Design (CAD) an...
متن کاملStepwise debugging of answer-set programs
We introduce a stepping methodology for answer-set programming (ASP) that allows for debugging answer-set programs and is based on the stepwise application of rules. Similar to debugging in imperative languages, where the behaviour of a program is observed during a step-by-step execution, stepping for ASP allows for observing the effects that rule applications have in the computation of an answ...
متن کاملEfficient Stepwise Selection in Decomposable Models
In this paper, we present an efficient algorithm for performing stepwise selection in the class of decomposable models. We focus on the forward selection procedure, but we also discuss how backward selection and the combination of the two can be performed efficiently. The main contributions of this paper are (1) a simple characterization for the edges that can be added to a decomposable model w...
متن کاملStepwise Feature Selection Using Multiple Kernel Learning
In this paper we propose a novel more flexible approach for the simultaneous feature selection and classification using Support Vector Machine and recent major advances of it, namely Multiple Kernel Learning. Using a quite simple kernel assembly scheme in the following paper we will indicate that feature selection and classification could be done in one step without applying computationally int...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational Chemistry
سال: 2018
ISSN: 0192-8651,1096-987X
DOI: 10.1002/jcc.25363