Sciweavers

3475 search results - page 603 / 695
» Backbones in Optimization and Approximation
Sort
View
IJCAI
2007
15 years 4 months ago
Mechanism Design with Partial Revelation
Classic direct mechanisms require full type (or utility) revelation from participating agents, something that can be very difficult in practical multi-attribute settings. In this...
Nathanael Hyafil, Craig Boutilier
106
Voted
IJCAI
2007
15 years 4 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
127
Voted
NIPS
2008
15 years 4 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
139
Voted
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 4 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
127
Voted
NETWORKING
2007
15 years 4 months ago
Interference-Aware Multicasting in Wireless Mesh Networks
Multicasting is one of the most important applications in Wireless Ad hoc Networks and the currently emerging Wireless Mesh Networks. In such networks, interference due to the shar...
Sudheendra Murthy, Abhishek Goswami, Arunabha Sen