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» Functional Programming in Sublinear Space
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POPL
2003
ACM
14 years 10 months ago
Selective memoization
We present a framework for applying memoization selectively. The framework provides programmer control over equality, space usage, and identification of precise dependences so tha...
Umut A. Acar, Guy E. Blelloch, Robert Harper
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 9 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
CORR
2010
Springer
141views Education» more  CORR 2010»
13 years 7 months ago
A Categorical Outlook on Cellular Automata
In programming language semantics, it has proved to be fruitful to analyze context-dependent notions of computation, e.g., dataflow computation and attribute grammars, using comona...
Silvio Capobianco, Tarmo Uustalu
JMLR
2006
150views more  JMLR 2006»
13 years 9 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
FOGA
2011
13 years 1 months ago
Approximating the distribution of fitness over hamming regions
The distribution of fitness values across a set of states sharply influences the dynamics of evolutionary processes and heuristic search in combinatorial optimization. In this p...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe