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» Learning the Common Structure of Data
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ICML
2008
IEEE
16 years 4 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
134
Voted
VSTTE
2005
Springer
15 years 8 months ago
Implications of a Data Structure Consistency Checking System
Abstract. We present a framework for verifying that programs correctly preserve important data structure consistency properties. Results from our implemented system indicate that o...
Viktor Kuncak, Patrick Lam, Karen Zee, Martin C. R...
SIGCSE
2012
ACM
310views Education» more  SIGCSE 2012»
13 years 11 months ago
CSTutor: a pen-based tutor for data structure visualization
We present CSTutor, a sketch-based interface designed to help students understand data structures. It currently supports Linked Lists, Binary Search Trees, AVL Trees, and Heaps, a...
Sarah Buchanan, Brandon Ochs, Joseph J. LaViola Jr...
STACS
2010
Springer
15 years 10 months ago
Efficient and Error-Correcting Data Structures for Membership and Polynomial Evaluation
We construct efficient data structures that are resilient against a constant fraction of adversarial noise. Our model requires that the decoder answers most queries correctly with...
Victor Chen, Elena Grigorescu, Ronald de Wolf
113
Voted
CCS
2009
ACM
15 years 10 months ago
Robust signatures for kernel data structures
Kernel-mode rootkits hide objects such as processes and threads using a technique known as Direct Kernel Object Manipulation (DKOM). Many forensic analysis tools attempt to detect...
Brendan Dolan-Gavitt, Abhinav Srivastava, Patrick ...