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138
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NIPS
2007
15 years 4 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
118
Voted
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
15 years 4 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
148
Voted
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 4 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
117
Voted
APVIS
2004
15 years 4 months ago
Adding Filtering to Geometric Distortion to Visualize a Clustered Graph on Small Screens.
Presenting large amounts of information in a limited screen space is a significant challenge in the field of Information Visualization. With the rapid development and growing use ...
Wanchun Li, Masahiro Takatsuka
102
Voted
BIOCOMP
2006
15 years 4 months ago
Evaluation of a Novel Metric for Quality Control in an RNA Interference High Throughput Screening Assay
The application of genome scale RNA interference (RNAi) relies on the development of high quality RNAi high throughput screening (HTS) assays. An important quality control (QC) ch...
Xiaohua Douglas Zhang, Amy S. Espeseth, Namjin Chu...