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BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
168
Voted
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 5 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...
ECAL
2005
Springer
16 years 9 days ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 9 days ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
ISAAC
2005
Springer
145views Algorithms» more  ISAAC 2005»
16 years 8 days ago
A Novel Adaptive Learning Algorithm for Stock Market Prediction
Lean Yu, Shouyang Wang, Kin Keung Lai