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» A Value Theory of Meta-Learning Algorithms
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ATAL
2001
Springer
15 years 4 months ago
A Stable and Feasible Payoff Division for Coalition Formation in a Class of Task Oriented Domains
In the last few years the use of coalition formation algorithms in multi-agent systems has been proposed as a possible way of modelling autonomous agent cooperation. Game theory pr...
María-Victoria Belmonte, Ricardo Conejo, Jo...
PODS
2007
ACM
203views Database» more  PODS 2007»
15 years 12 months ago
Decision trees for entity identification: approximation algorithms and hardness results
We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Samb...
DCC
2006
IEEE
15 years 11 months ago
Evaluation codes and plane valuations
Abstract. We apply tools coming from singularity theory, as Hamburger-Noether expansions, and from valuation theory, as generating sequences, to explicitly describe order functions...
C. Galindo, M. Sanchis
SIGECOM
2008
ACM
103views ECommerce» more  SIGECOM 2008»
14 years 11 months ago
Mechanism design over discrete domains
Often, we wish to design incentive-compatible algorithms for settings in which the players' private information is drawn from discrete domains (e.g., integer values). Our mai...
Ahuva Mu'alem, Michael Schapira
JCIT
2010
148views more  JCIT 2010»
14 years 6 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...