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ICS
2001
Tsinghua U.
13 years 12 months ago
Optimizing strategies for telescoping languages: procedure strength reduction and procedure vectorization
At Rice University, we have undertaken a project to construct a framework for generating high-level problem solving languages that can achieve high performance on a variety of pla...
Arun Chauhan, Ken Kennedy
ICML
2005
IEEE
14 years 8 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
COGSCI
2010
111views more  COGSCI 2010»
13 years 7 months ago
Mechanisms of Cognitive Development: Domain-General Learning or Domain-Specific Constraints?
many abstract categories (e.g., ``equivalence'') is innate. Although Plato argued with his contemporaries who advocated the empirical basis of knowledge, it was the Briti...
Vladimir Sloutsky
ESANN
2003
13 years 8 months ago
Improving iterative repair strategies for scheduling with the SVM
The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
Kai Gersmann, Barbara Hammer
AAAI
2011
12 years 7 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal