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FOIS
2006
13 years 6 months ago
A Dynamic Theory of Ontology
Natural languages are easy to learn by infants, they can express any thought that any adult might ever conceive, and they accommodate the limitations of human breathing rates and s...
John F. Sowa
NIPS
1998
13 years 6 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
KAIS
2008
150views more  KAIS 2008»
13 years 5 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
AO
2005
147views more  AO 2005»
13 years 5 months ago
Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both?
There are a number of genuinely open questions concerning the use of domain models in nlp. It would be great if contributors to Applied Ontology could help addressing them rather ...
Massimo Poesio
TIT
2008
105views more  TIT 2008»
13 years 3 months ago
State Discrimination With Post-Measurement Information
We introduce a new state discrimination problem in which we are given additional information about the state after the measurement, or more generally, after a quantum memory bound ...
Manuel A. Ballester, Stephanie Wehner, Andreas Win...