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NIPS
2007
13 years 10 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
JSAC
2006
105views more  JSAC 2006»
13 years 8 months ago
Network Topology Inference Based on End-to-End Measurements
Abstract--We consider using traceroute-like end-to-end measurement to infer the underlay topology for a group of hosts. One major issue is the measurement cost. Given hosts in an a...
Xing Jin, Wai-Pun Ken Yiu, S.-H. Gary Chan, Yajun ...
ACIVS
2006
Springer
14 years 2 months ago
Visibility of Point Clouds and Mapping of Unknown Environments
Abstract. We present an algorithm for interpolating the visible portions of a point cloud that are sampled from opaque objects in the environment. Our algorithm projects point clou...
Yanina Landa, Richard Tsai, Li-Tien Cheng
MOC
2000
70views more  MOC 2000»
13 years 8 months ago
Extrapolation methods and derivatives of limits of sequences
Let {Sm} be an infinite sequence whose limit or antilimit S can be approximated very efficiently by applying a suitable extrapolation method E0 to {Sm}. Assume that the Sm and henc...
Avram Sidi
VMCAI
2005
Springer
14 years 2 months ago
On the Complexity of Error Explanation
When a system fails to satisfy its specification, the model checker produces an error trace (or counter-example) that demonstrates an undesirable behavior, which is then used in d...
Nirman Kumar, Viraj Kumar, Mahesh Viswanathan