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FLAIRS
2003
13 years 10 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
CRYPTO
2010
Springer
195views Cryptology» more  CRYPTO 2010»
13 years 10 months ago
Fully Secure Functional Encryption with General Relations from the Decisional Linear Assumption
This paper presents a fully secure functional encryption scheme for a wide class of relations, that are specified by non-monotone access structures combined with inner-product rel...
Tatsuaki Okamoto, Katsuyuki Takashima
FSS
2002
99views more  FSS 2002»
13 years 8 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
SIGIR
2002
ACM
13 years 8 months ago
A critical examination of TDT's cost function
Topic Detection and Tracking (TDT) tasks are evaluated using a cost function. The standard TDT cost function assumes a constant probability of relevance P(rel) across all topics. ...
R. Manmatha, Ao Feng, James Allan
ESA
2005
Springer
99views Algorithms» more  ESA 2005»
14 years 2 months ago
Optimizing a 2D Function Satisfying Unimodality Properties
The number of probes needed by the best possible algorithm for locally or globally optimizing a bivariate function varies substantially depending on the assumptions made about the ...
Erik D. Demaine, Stefan Langerman