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» On the Convergence of Bound Optimization Algorithms
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AAAI
2008
15 years 9 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
JMLR
2012
13 years 9 months ago
Structured Sparse Canonical Correlation Analysis
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Xi Chen, Han Liu, Jaime G. Carbonell
PPSN
2010
Springer
15 years 4 months ago
Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search
Abstract. In this paper, we elaborate how decision space diversity can be integrated into indicator-based multiobjective search. We introduce DIOP, the diversity integrating multio...
Tamara Ulrich, Johannes Bader, Lothar Thiele
ICML
2010
IEEE
15 years 7 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
CORR
2007
Springer
82views Education» more  CORR 2007»
15 years 6 months ago
Sorting and Selection with Random Costs
There is a growing body of work on sorting and selection in models other than the unit-cost comparison model. This work treats a natural stochastic variant of the problem where the...
Stanislav Angelov, Keshav Kunal, Andrew McGregor