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AAAI
1996
15 years 3 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
BMCBI
2007
197views more  BMCBI 2007»
15 years 1 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 5 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
129
Voted
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 2 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
TCOM
2010
167views more  TCOM 2010»
15 years 2 days ago
On distributed scheduling in wireless networks exploiting broadcast and network coding
—In this paper, we consider cross-layer optimization in wireless networks with wireless broadcast advantage, focusing on the problem of distributed scheduling of broadcast links....
Tao Cui, Lijun Chen, Tracey Ho