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ICML
2005
IEEE
16 years 7 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 7 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
CADE
2006
Springer
16 years 7 months ago
Solving Sparse Linear Constraints
Linear arithmetic decision procedures form an important part of theorem provers for program verification. In most verification benchmarks, the linear arithmetic constraints are dom...
Shuvendu K. Lahiri, Madanlal Musuvathi
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
16 years 7 months ago
GhostDB: querying visible and hidden data without leaks
Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospita...
Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, Phil...
SIGMOD
2006
ACM
159views Database» more  SIGMOD 2006»
16 years 7 months ago
Flexible and efficient XML search with complex full-text predicates
Recently, there has been extensive research that generated a wealth of new XML full-text query languages, ranging from simple Boolean search to combining sophisticated proximity a...
Sihem Amer-Yahia, Emiran Curtmola, Alin Deutsch