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We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences arises in several applications, such as that of combining the results of different search engines, or the “collaborativefiltering” problem of ranking movies for a user based on the(More)
Haploidy induction through anther culture has been examined in Datura metel and rice with a view to tracing the precise sequence of development of the pollen, either directly or through an intervening callus, into an embryo and seedling. In D. metel, the vegetative cell of the young pollen grain assumes the major role in formation of embryos whereas the(More)
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe the algorithm and present experimental results on applying it to the document routing problem. The first set of results applies RankBoost to a text representation produced using(More)
Fifteen red pigmented trisomics were isolated in the F2 generation from the cross Corchorus olitorius L. x C. capsularis L. In the F3 generation a few green trisomics were obtained; more of these were isolated from the backcross generation. A detailed morphological and cytological analysis of the trisomic hybrid populations derived from the F3 and F4(More)
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