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EC
2002
228views ECommerce» more  EC 2002»
15 years 3 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett
NECO
2007
150views more  NECO 2007»
15 years 3 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
ICDM
2010
IEEE
111views Data Mining» more  ICDM 2010»
15 years 2 months ago
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System
Given a user in a social network, which new friends should we recommend, the dual goal being to achieve user satisfaction and good network connectivity? Similarly, which new produc...
Leman Akoglu, Christos Faloutsos
141
Voted
SENSYS
2010
ACM
15 years 1 months ago
Meeting ecologists' requirements with adaptive data acquisition
Ecologists instrument ecosystems to collect time series representing the evolution in time and space of relevant abiotic and biotic factors. Sensor networks promise to improve on ...
Marcus Chang, Philippe Bonnet
IOR
2010
128views more  IOR 2010»
15 years 1 months ago
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
Paat Rusmevichientong, Zuo-Jun Max Shen, David B. ...