Sciweavers

849 search results - page 136 / 170
» Learning to Solve Problems from Exercises
Sort
View
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 1 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
CAV
1998
Springer
103views Hardware» more  CAV 1998»
13 years 12 months ago
You Assume, We Guarantee: Methodology and Case Studies
Assume-guarantee reasoning has long been advertised as an important method for decomposing proof obligations in system veri cation. Re nement mappings (homomorphisms) have long bee...
Thomas A. Henzinger, Shaz Qadeer, Sriram K. Rajama...
JUCS
2008
196views more  JUCS 2008»
13 years 7 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...
INTERSPEECH
2010
13 years 2 months ago
Modeling liaison in French by using decision trees
French is known to be a language with major pronunciation irregularities at word endings with consonants. Particularly, the well-known phonetic phenomenon called Liaison is one of...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...
NIPS
1993
13 years 9 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson