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» Learning from examples to improve code completion systems
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
SCAI
1993
13 years 9 months ago
A Case-Based Answer to Some Problems of Knowledge-Based Systems
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
Agnar Aamodt
ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CASES
2000
ACM
14 years 8 hour ago
A code generation framework for Java component-based designs
In this paper, we describe a software architecture supporting code generation from within Ptolemy II. Ptolemy II is a componentbased design tool intended for embedded and real-tim...
Jeff Tsay, Christopher Hylands, Edward Lee
SOSYM
2010
174views more  SOSYM 2010»
13 years 6 months ago
Automatic generation of basic behavior schemas from UML class diagrams
: The specification of a software system must include all relevant static and dynamic aspects of the domain. Dynamic aspects are usually specified by means of a behavioral schema c...
Manoli Albert, Jordi Cabot, Cristina Gómez,...