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ACL
1998
15 years 5 months ago
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
Hiyan Alshawi, Srinivas Bangalore, Shona Douglas
DSD
2002
IEEE
86views Hardware» more  DSD 2002»
15 years 8 months ago
Using Formal Tools to Study Complex Circuits Behaviour
We use a formal tool to extract Finite State Machines (FSM) based representations (lists of states and transitions) of sequential circuits described by flip-flops and gates. The...
Paul Amblard, Fabienne Lagnier, Michel Lévy
ICCAD
2000
IEEE
119views Hardware» more  ICCAD 2000»
15 years 8 months ago
Synthesis of Operation-Centric Hardware Descriptions
Most hardware description frameworks, whether schematic or textual, use cooperating finite state machines (CFSM) as the underlying abstraction. In the CFSM framework, a designer ...
James C. Hoe, Arvind
IWMM
2010
Springer
118views Hardware» more  IWMM 2010»
15 years 8 months ago
Speculative parallelization using state separation and multiple value prediction
With the availability of chip multiprocessor (CMP) and simultaneous multithreading (SMT) machines, extracting thread level parallelism from a sequential program has become crucial...
Chen Tian, Min Feng, Rajiv Gupta
COLT
2008
Springer
15 years 5 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin