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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 10 months ago
A Generalization of Forward-Backward Algorithm
Structured prediction has become very important in recent years. A simple but notable class of structured prediction is one for sequences, so-called sequential labeling. For sequen...
Ai Azuma, Yuji Matsumoto
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 10 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
124
Voted
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 9 months ago
Finding Cohesive Clusters for Analyzing Knowledge Communities
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
124
Voted
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
15 years 9 months ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
126
Voted
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 7 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides