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» Intrinsically Motivated Machines
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CHI
2003
ACM
14 years 8 months ago
Sense and sensibility: evaluation and interactive art
HCI evaluation methods are useful for improving the design of interactive systems, yet they may be rejected by nontraditional technology disciplines such as media art. We have dev...
Gerd Andersson, Kristina Höök, Phoebe Se...
ICML
2009
IEEE
14 years 8 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ICML
2006
IEEE
14 years 8 months ago
Concept boundary detection for speeding up SVMs
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Navneet Panda, Edward Y. Chang, Gang Wu
DSN
2003
IEEE
14 years 1 months ago
From Crash Tolerance to Authenticated Byzantine Tolerance: A Structured Approach, the Cost and Benefits
Many fault-tolerant group communication middleware systems have been implemented assuming crash failure semantics. While this assumption is not unreasonable, it becomes hard to ju...
Dimane Mpoeleng, Paul D. Ezhilchelvan, Neil A. Spe...
COLT
1992
Springer
14 years 4 days ago
On Learning Limiting Programs
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
John Case, Sanjay Jain, Arun Sharma