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AUSAI
2008
Springer
15 years 1 months ago
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
Eibe Frank, Mark Hall
ISHPC
1997
Springer
15 years 4 months ago
Implementing Iterative Solvers for Irregular Sparse Matrix Problems in High Performance Fortran
Abstract. Writing e cient iterative solvers for irregular, sparse matrices in HPF is hard. The locality in the computations is unclear, and for e ciency we use storage schemes that...
Eric de Sturler, Damian Loher
EJC
2008
14 years 12 months ago
On digraph coloring problems and treewidth duality
It is known that every constraint-satisfaction problem (CSP) reduces, and is in fact polynomially equivalent, to a digraph coloring problem. By carefully analyzing the constructio...
Albert Atserias
ICML
1995
IEEE
16 years 20 days ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
AAAI
2008
15 years 2 months ago
Hybrid Constraint Tightening for Solving Hybrid Scheduling Problems
Hybrid Scheduling Problems (HSPs) contain both temporal and finite-domain variables, as well as constraints between them. A hybrid constraint over temporal and finite-domain varia...
James C. Boerkoel Jr., Edmund H. Durfee