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228
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NIPS
2008
15 years 8 months ago
Predicting the Geometry of Metal Binding Sites from Protein Sequence
Metal binding is important for the structural and functional characterization of proteins. Previous prediction efforts have only focused on bonding state, i.e. deciding which prot...
Paolo Frasconi, Andrea Passerini
NIPS
2007
15 years 8 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
207
Voted
SDM
2007
SIAM
73views Data Mining» more  SDM 2007»
15 years 8 months ago
Sketching Landscapes of Page Farms
The Web is a very large social network. It is important and interesting to understand the “ecology” of the Web: the general relations of Web pages to their environment. The un...
Bin Zhou 0002, Jian Pei
212
Voted
UAI
1997
15 years 8 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
180
Voted
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 8 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker