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AI
1998
Springer
15 years 11 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
SIGGRAPH
1998
ACM
15 years 11 months ago
Interactive Multi-Resolution Modeling on Arbitrary Meshes
During the last years the concept of multi-resolution modeling has gained special attention in many fields of computer graphics and geometric modeling. In this paper we generaliz...
Leif Kobbelt, Swen Campagna, Jens Vorsatz, Hans-Pe...
PODC
1990
ACM
15 years 10 months ago
Sharing Memory Robustly in Message-Passing Systems
Emulators that translate algorithms from the shared-memory model to two different message-passing models are presented. Both are achieved by implementing a wait-free, atomic, singl...
Hagit Attiya, Amotz Bar-Noy, Danny Dolev
CIDM
2007
IEEE
15 years 10 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ECRTS
2004
IEEE
15 years 10 months ago
Maintaining Data Freshness in Distributed Real-Time Databases
Many real-time systems need to maintain fresh views which are derived from shared data that are distributed among multiple sites. When a base data item changes, all derived views ...
Yuan Wei, Sang Hyuk Son, John A. Stankovic