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CSDA
2010
105views more  CSDA 2010»
15 years 5 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock
BIOCOMP
2010
15 years 3 months ago
Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm
- The activities and function of proteins can potentially be determined by protein sequence motifs. Therefore, obtaining the universally conserved and crossed protein family bounda...
Vincent Yip, Bernard Chen, Sinan Kockara
ICPR
2004
IEEE
16 years 7 months ago
Classification Probability Analysis of Principal Component Null Space Analysis
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
Namrata Vaswani, Rama Chellappa
AAAI
1998
15 years 7 months ago
Knowledge Intensive Exception Spaces
In this paper we extend the concept of exception spaces as defined by Cost and Salzberg (Cost and Salzberg, 1993), in the context of exemplar-based reasoning. Cost et al. defined ...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
AAAI
2012
13 years 8 months ago
Planning in Factored Action Spaces with Symbolic Dynamic Programming
We consider symbolic dynamic programming (SDP) for solving Markov Decision Processes (MDP) with factored state and action spaces, where both states and actions are described by se...
Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tad...