SPLINE KERNELS IN NONPARAMETRIC REGRESSION
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): MARCIN MICHALAK
Abstract: This paper presents a new group of kernel functions – spline kernels. This group of kernels connects advantages of Epanechnikov kernel and a multiple differentiability, required in several aspects of building kernel estimators.
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-029-3-91
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- Downloads: 0
ANALYZING SUPPLY CHAIN NODES IN HETEROGENEOUS ENVIRONMENTS BASED ON TRANSACTION DATA WITH RESPECT TO INDEPENDENT ITEM BEHAVIOR
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): LUKAS KOPECKI , SEBASTIAN LAUCK , SIMON BOXNICK
Abstract: Sizing and redesign of new and existing supply chain nodes, like warehouses or logistic hubs are highly data-dependent tasks, incorporating lots of transaction information which are mostly available through ERP systems. Therefore, item-based forecasting and lot sizing models, approximations or both are used widely when planning new supply chain nodes. This paper introduces a new approach of data-aggregation based on probability functions of each item (e.g. stock keeping units (SKU)) incorporating compensating behavior and time-dependent aspects.
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-029-3-92
- Views: 0
- Downloads: 0