On the learnability of discrete distributions
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Randomized algorithms
On the approximability of numerical taxonomy (fitting distances by tree metrics)
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Learning distributions from random walks
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Better methods for solving parsimony and compatibility
RECOMB '98 Proceedings of the second annual international conference on Computational molecular biology
RECOMB '98 Proceedings of the second annual international conference on Computational molecular biology
Obtaining highly accurate topology estimates of evolutionary trees from very short sequences
RECOMB '99 Proceedings of the third annual international conference on Computational molecular biology
Recovering evolutionary trees through harmonic greedy triplets
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Efficient algorithms for inverting evolution
Journal of the ACM (JACM)
Approximation algorithm for embedding metrics into a two-dimensional space
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
On the complexity of distance-based evolutionary tree reconstruction
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Fitting Points on the Real Line and Its Application to RH Mapping
ESA '98 Proceedings of the 6th Annual European Symposium on Algorithms
Fitting points on the real line and its application to RH mapping
Journal of Algorithms
Low-dimensional embedding with extra information
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
Learning nonsingular phylogenies and hidden Markov models
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Hierarchical mixture models: a probabilistic analysis
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
ACM SIGACT News
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