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ICML
1998
IEEE
14 years 8 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 9 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
SIGCOMM
2004
ACM
14 years 29 days ago
Work-conserving distributed schedulers for Terabit routers
−Buffered multistage interconnection networks offer one of the most scalable and cost-effective approaches to building high capacity routers. Unfortunately, the performance of su...
Prashanth Pappu, Jonathan S. Turner, Kenneth Wong
ICPR
2006
IEEE
14 years 8 months ago
Learning Policies for Efficiently Identifying Objects of Many Classes
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
Ahmed M. Elgammal, Ramana Isukapalli, Russell Grei...
ICDCS
2009
IEEE
14 years 4 months ago
Q-Tree: A Multi-Attribute Based Range Query Solution for Tele-immersive Framework
Users and administrators of large distributed systems are frequently in need of monitoring and management of its various components, data items and resources. Though there exist s...
Md. Ahsan Arefin, Md. Yusuf Sarwar Uddin, Indranil...