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ICML
2008
IEEE
16 years 7 months ago
Sequence kernels for predicting protein essentiality
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...
Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar
ICML
2006
IEEE
16 years 7 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
ICML
2002
IEEE
16 years 7 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ISBI
2006
IEEE
16 years 7 months ago
3-D tomographic reconstruction of the average propagator from MRI data
The measurement of the 3-D "average propagator", P(r), from diffusion-weighted (DW) NMR or MRI data has been a "holy grail" in materials science and biomedicin...
Valery Pickalov, Peter J. Basser
WWW
2003
ACM
16 years 7 months ago
On labeling schemes for the semantic web
This paper focuses on the optimization of the navigation through voluminous subsumption hierarchies of topics employed by Portal Catalogs like Netscape Open Directory (ODP). We ad...
Vassilis Christophides, Dimitris Plexousakis, Mich...
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