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» Methods to Learn Abstract Scheduling Models
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COLT
2004
Springer
14 years 2 months ago
Concentration Bounds for Unigrams Language Model
Abstract. We show several PAC-style concentration bounds for learning unigrams language model. One interesting quantity is the probability of all words appearing exactly k times in...
Evgeny Drukh, Yishay Mansour
LREC
2010
169views Education» more  LREC 2010»
13 years 10 months ago
Using Comparable Corpora to Adapt a Translation Model to Domains
Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
Hiroyuki Kaji, Takashi Tsunakawa, Daisuke Okada
CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 7 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
NIPS
1993
13 years 10 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
GLVLSI
2007
IEEE
141views VLSI» more  GLVLSI 2007»
14 years 19 days ago
A synchronization algorithm for local temporal refinements in perfectly synchronous models with nested feedback loops
he abstract and simple computation and communication mechanism in the synchronous computational model it is easy to simulate synchronous systems and to apply formal verification m...
Tarvo Raudvere, Ingo Sander, Axel Jantsch