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ICML
2009
IEEE
14 years 4 months ago
Feature hashing for large scale multitask learning
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
Kilian Q. Weinberger, Anirban Dasgupta, John Langf...
ISW
2009
Springer
14 years 4 months ago
Security Analysis of the PACE Key-Agreement Protocol
We analyze the Password Authenticated Connection Establishment (PACE) protocol for authenticated key agreement, recently proposed by the German Federal Office for Information Secur...
Jens Bender, Marc Fischlin, Dennis Kügler
ICPR
2008
IEEE
14 years 4 months ago
RANSAC-SVM for large-scale datasets
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
Kenji Watanabe, Takio Kurita
ICML
2000
IEEE
14 years 2 months ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
IPPS
1999
IEEE
14 years 2 months ago
Fully-Scalable Fault-Tolerant Simulations for BSP and CGM
In this paper we consider general simulations of algorithms designed for fully operational BSP and CGM machines on machines with faulty processors. The faults are deterministic (i...
Sung-Ryul Kim, Kunsoo Park