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KDD
2005
ACM
135views Data Mining» more  KDD 2005»
16 years 8 days ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
KDD
2005
ACM
169views Data Mining» more  KDD 2005»
16 years 8 days ago
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
Bamshad Mobasher, Robin D. Burke, Chad Williams, R...
NOLISP
2007
Springer
15 years 6 months ago
Objective and Subjective Evaluation of an Expressive Speech Corpus
This paper presents the validation of the expressive content of an acted corpus produced for its use in speech synthesis. Firstly, objective techniques have been carried out by me...
Ignasi Iriondo Sanz, Santiago Planet, Joan Claudi ...
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 6 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
15 years 5 months ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...