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ICFP
2005
ACM
15 years 10 months ago
Fast narrowing-driven partial evaluation for inductively sequential programs
Narrowing-driven partial evaluation is a powerful technique for the specialization of (first-order) functional and functional logic programs. However, although it gives good resu...
J. Guadalupe Ramos, Josep Silva, Germán Vid...
170
Voted
CPM
2005
Springer
206views Combinatorics» more  CPM 2005»
15 years 10 months ago
A Fast Algorithm for Approximate String Matching on Gene Sequences
Abstract. Approximate string matching is a fundamental and challenging problem in computer science, for which a fast algorithm is highly demanded in many applications including tex...
Zheng Liu, Xin Chen, James Borneman, Tao Jiang
VMCAI
2005
Springer
15 years 10 months ago
Minimizing Counterexample with Unit Core Extraction and Incremental SAT
Abstract. It is a hotly researching topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. K Ravi proposes a two-stages counterexample min...
ShengYu Shen, Ying Qin, Sikun Li
ISCA
1999
IEEE
88views Hardware» more  ISCA 1999»
15 years 8 months ago
A Scalable Front-End Architecture for Fast Instruction Delivery
In the pursuit of instruction-level parallelism, significant demands are placed on a processor's instruction delivery mechanism. Delivering the performance necessary to meet ...
Glenn Reinman, Todd M. Austin, Brad Calder
NIPS
1998
15 years 5 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller