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ICALP
2005
Springer
16 years 5 days ago
Linear Time Algorithms for Clustering Problems in Any Dimensions
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Amit Kumar, Yogish Sabharwal, Sandeep Sen
WEA
2004
Springer
124views Algorithms» more  WEA 2004»
16 years 10 hour ago
Experimental Studies of Symbolic Shortest-Path Algorithms
Abstract. Graphs can be represented symbolically by the Ordered Binary Decision Diagram (OBDD) of their characteristic function. To solve problems in such implicitly given graphs, ...
Daniel Sawitzki
BIRTHDAY
2003
Springer
15 years 12 months ago
Computational Proof as Experiment: Probabilistic Algorithms from a Thermodynamic Perspective
Abstract. A novel framework for the design and analysis of energy-aware algorithms is presented, centered around a deterministic Bit-level (Boltzmann) Random Access Machine or BRAM...
Krishna V. Palem
EMO
2001
Springer
209views Optimization» more  EMO 2001»
15 years 11 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
EWCBR
2006
Springer
15 years 10 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore