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» Machine learning problems from optimization perspective
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ICML
2006
IEEE
14 years 9 months ago
Reinforcement learning for optimized trade execution
We present the first large-scale empirical application of reinforcement learning to the important problem of optimized trade execution in modern financial markets. Our experiments...
Yuriy Nevmyvaka, Yi Feng, Michael S. Kearns
ECTEL
2006
Springer
14 years 20 days ago
Context-Aware Workplace Learning Support: Concept, Experiences, and Remaining Challenges
Workplace learning offers the unique possibility of the immediacy of purpose and real-world context. In order to leverage on this, we have developed a context-aware method to suppo...
Andreas Schmidt, Simone Braun
ECML
2006
Springer
14 years 20 days ago
Case-Based Label Ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
Klaus Brinker, Eyke Hüllermeier
EOR
2010
104views more  EOR 2010»
13 years 6 months ago
New solution methods for single machine bicriteria scheduling problem: Minimization of average flowtime and number of tardy jobs
We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average flowtime on a single machine. This problem, which is known to be NP-hard, is impor...
Fatih Safa Erenay, Ihsan Sabuncuoglu, Aysegül...
COLT
1994
Springer
14 years 1 months ago
An Optimal Parallel Algorithm for Learning DFA
: Sequential algorithms given by Angluin 1987 and Schapire 1992 learn deterministic nite automata DFA exactly from Membership and Equivalence queries. These algorithms are feasible...
José L. Balcázar, Josep Díaz,...