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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 2 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
WWW
2007
ACM
16 years 6 months ago
Combining classifiers to identify online databases
We address the problem of identifying the domain of online databases. More precisely, given a set F of Web forms automatically gathered by a focused crawler and an online database...
Luciano Barbosa, Juliana Freire
SIGECOM
2005
ACM
169views ECommerce» more  SIGECOM 2005»
15 years 11 months ago
Online auctions with re-usable goods
This paper concerns the design of mechanisms for online scheduling in which agents bid for access to a re-usable resource such as processor time or wireless network access. Each a...
Mohammad Taghi Hajiaghayi, Robert D. Kleinberg, Mo...
ICML
2006
IEEE
16 years 6 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
DAC
2006
ACM
15 years 11 months ago
High-performance operating system controlled memory compression
This article describes a new software-based on-line memory compression algorithm for embedded systems and presents a method of adaptively managing the uncompressed and compressed ...
Lei Yang, Haris Lekatsas, Robert P. Dick