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NIPS
1996
15 years 2 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
103
Voted
BMCBI
2010
136views more  BMCBI 2010»
15 years 25 days ago
Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfa
Background: Many newly detected point mutations are located in protein-coding regions of the human genome. Knowledge of their effects on the protein's 3D structure provides i...
Hanka Venselaar, Tim A. H. te Beek, Remko K. P. Ku...
109
Voted
BMCBI
2005
92views more  BMCBI 2005»
15 years 18 days ago
FIGENIX: Intelligent automation of genomic annotation: expertise integration in a new software platform
Background: Two of the main objectives of the genomic and post-genomic era are to structurally and functionally annotate genomes which consists of detecting genes' position a...
Philippe Gouret, Vérane Vitiello, Nathalie ...
CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 16 days ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
115
Voted
PVLDB
2008
127views more  PVLDB 2008»
15 years 5 days ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller