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AMTA
2004
Springer
15 years 2 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
APIN
2004
107views more  APIN 2004»
14 years 9 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
94
Voted
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 1 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
66
Voted
MEMOCODE
2007
IEEE
15 years 3 months ago
From WiFi to WiMAX: Techniques for High-Level IP Reuse across Different OFDM Protocols
Orthogonal Frequency-Division Multiplexing (OFDM) has become the preferred modulation scheme for both broadband and high bitrate digital wireless protocols because of its spectral...
Man Cheuk Ng, Muralidaran Vijayaraghavan, Nirav Da...
MP
2006
123views more  MP 2006»
14 years 9 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...