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IJCAI
2001
15 years 3 months ago
Reinforcement Learning in Distributed Domains: Beyond Team Games
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
David Wolpert, Joseph Sill, Kagan Tumer
156
Voted
VLDB
2002
ACM
143views Database» more  VLDB 2002»
15 years 1 months ago
SQL Memory Management in Oracle9i
Complex database queries require the use of memory-intensive operators like sort and hashjoin. Those operators need memory, also referred to as SQL memory, to process their input ...
Benoît Dageville, Mohamed Zaït
ICML
2002
IEEE
16 years 2 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 2 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
EDBT
2010
ACM
153views Database» more  EDBT 2010»
15 years 8 months ago
Suggestion of promising result types for XML keyword search
Although keyword query enables inexperienced users to easily search XML database with no specific knowledge of complex structured query languages or XML data schemas, the ambigui...
Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wang
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