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» Prediction on Spike Data Using Kernel Algorithms
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EUROPAR
2006
Springer
15 years 8 months 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
141
Voted
USENIX
2003
15 years 6 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, ...
141
Voted
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
15 years 10 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
16 years 7 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
15 years 6 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