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PAKDD
2009
ACM
135views Data Mining» more  PAKDD 2009»
14 years 3 months ago
On Mining Rating Dependencies in Online Collaborative Rating Networks
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
ICASSP
2007
IEEE
14 years 2 months ago
A New Robust Frequency Domain Echo Canceller with Closed-Loop Learning Rate Adaptation
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
Jean-Marc Valin, Iain B. Collings
GLOBECOM
2007
IEEE
14 years 2 months ago
Symbol Error Rate Calculation for Alamouti Space Time Coded OFDM in Direct Conversion Receivers
—In this paper we present an analytical approach to evaluate the M-QAM symbol error rate (SER) of Alamouti space time coded OFDM direct conversion receivers subject to carrier fr...
Marco Krondorf, Gerhard Fettweis
ACL
2012
11 years 11 months ago
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
Xu Sun, Houfeng Wang, Wenjie Li
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 1 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett