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IJCAI
1993
13 years 11 months ago
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
Usama M. Fayyad, Keki B. Irani
CORR
2000
Springer
129views Education» more  CORR 2000»
13 years 9 months ago
Prosody-Based Automatic Segmentation of Speech into Sentences and Topics
A crucial step in processing speech audio data for information extraction, topic detection, or browsing/playback is to segment the input into sentence and topic units. Speech segm...
Elizabeth Shriberg, Andreas Stolcke, Dilek Z. Hakk...
NPC
2005
Springer
14 years 3 months ago
A Greedy Algorithm for Capacity-Constrained Surrogate Placement in CDNs
One major factor that heavily affects the performance of a content distribution network (CDN) is placement of the surrogates. Previous works take a network-centric approach and con...
Yifeng Chen, Yanxiang He, Jiannong Cao, Jie Wu
IJCAI
1997
13 years 11 months ago
Minimum Splits Based Discretization for Continuous Features
Discretization refers to splitting the range of continuous values into intervals so as to provide useful information about classes. This is usually done by minimizing a goodness m...
Ke Wang, Han Chong Goh
RECOMB
2006
Springer
14 years 10 months ago
Probabilistic Paths for Protein Complex Inference
Understanding how individual proteins are organized into complexes and pathways is a significant current challenge. We introduce new algorithms to infer protein complexes by combin...
Hailiang Huang, Lan V. Zhang, Frederick P. Roth, J...