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» Generality Is Predictive of Prediction Accuracy
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TIT
1998
123views more  TIT 1998»
15 years 6 months ago
The Minimum Description Length Principle in Coding and Modeling
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
Andrew R. Barron, Jorma Rissanen, Bin Yu
236
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GPEM
2010
134views more  GPEM 2010»
15 years 5 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
IAJIT
2010
191views more  IAJIT 2010»
15 years 5 months ago
Identification of Promoter Region in Genomic DNA Using Cellular Automata Based Text Clustering
: Identifying the promoter regions play a vital role in understanding human genes. This paper presents a new cellular automata based text clustering algorithm for identifying these...
Kiran Sree, Ramesh Babu
ACL
2010
15 years 4 months ago
Complexity Metrics in an Incremental Right-Corner Parser
Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve...
Stephen Wu, Asaf Bachrach, Carlos Cardenas, Willia...
174
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EMNLP
2010
15 years 4 months ago
An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL
This paper proposes a fast and simple unsupervised word segmentation algorithm that utilizes the local predictability of adjacent character sequences, while searching for a leaste...
Valentin Zhikov, Hiroya Takamura, Manabu Okumura