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» Prediction on Spike Data Using Kernel Algorithms
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EUROPAR
2006
Springer
14 years 19 days ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
USENIX
2003
13 years 10 months ago
Using Read-Copy-Update Techniques for System V IPC in the Linux 2.5 Kernel
Read-copy update (RCU) allows lock-free read-only access to data structures that are concurrently modified on SMP systems. Despite the concurrent modifications, read-only access...
Andrea Arcangeli, Mingming Cao, Paul E. McKenney, ...
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
CVPR
2006
IEEE
14 years 11 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
NIPS
2004
13 years 10 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake