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» Learning Monotone Decision Trees in Polynomial Time
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96
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KDD
2000
ACM
121views Data Mining» more  KDD 2000»
15 years 3 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
CIDM
2009
IEEE
15 years 3 months ago
Gender identification from E-mails
In this paper, we investigate the topic of gender identification for short length, multi-genre, content-free e-mails. We introduce for the first time (to our knowledge), psycholing...
Na Cheng, Xiaoling Chen, R. Chandramouli, K. P. Su...
83
Voted
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 6 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
CAV
2005
Springer
99views Hardware» more  CAV 2005»
15 years 5 months ago
Automated Assume-Guarantee Reasoning for Simulation Conformance
Abstract. We address the issue of efficiently automating assume-guarantee reasoning for simulation conformance between finite state systems and specifications. We focus on a non...
Sagar Chaki, Edmund M. Clarke, Nishant Sinha, Pras...
ICML
2006
IEEE
16 years 14 days 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...