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  • Brazil  (2)
  • multi-strategy learning  (2)
  • Coulomb interaction symmetries  (1)
  • Springer  (5)
  • Wiley
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 24 (1996), S. 141-168 
    ISSN: 0885-6125
    Keywords: Concept learning ; multi-strategy learning ; rule induction ; instance-based learning ; nearest-neighbor classification ; case-based reasoning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Several well-developed approaches to inductive learning low exist, but each has specific limitations that are hard to overcome. Multi-strategy learning attempts to tackle this problem combining multiple methods in one algorithm. This article describes a unification of two widely-used empirical approaches: rule induction and instance-based learning. In the new algorithm, instances are treated as maximally specific rules, and classification is oerformed using a best-match strategy. Rules are learned by gradually generalizing instances until no improvement in apparent accuracy is obtained. Theoretical analysis shows this approach to be efficient. It is implemented in the RISE 3.1 system. In an extensive empirical study, RISE consistently achieves higher accuracies than state-of-the-art representatives of both its parent approaches (PEBLS and CN2), as well as a decision tree learner (C4.5). Lesion studies show that eachoof RISE's components is essential to this performance. Most significantly, in 14 of the 30 domains studied, RISE is more accurate than the best of PEBLS and CN2, showing that a significant synergy can be obtained by combining multiple empirical methods.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 24 (1996), S. 141-168 
    ISSN: 0885-6125
    Keywords: Concept learning ; multi-strategy learning ; rule induction ; instance-based learning ; nearest-neighbor classification ; case-based reasoning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Several well-developed approaches to inductive learning now exist, but each has specific limitations that are hard to overcome. Multi-strategy learning attempts to tackle this problem by combining multiple methods in one algorithm. This article describes a unification of two widely-used empirical approaches: rule induction and instance-based learning. In the new algorithm, instances are treated as maximally specific rules, and classification is performed using a best-match strategy. Rules are learned by gradually generalizing instances until no improvement in apparent accuracy is obtained. Theoretical analysis shows this approach to be efficient. It is implemented in the RISE 3.1 system. In an extensive empirical study, RISE consistently achieves higher accuracies than state-of-the-art representatives of both its parent approaches (PEBLS and CN2), as well as a decision tree learner (C4.5). Lesion studies show that each of RISE‘s components is essential to this performance. Most significantly, in 14 of the 30 domains studied, RISE is more accurate than the best of PEBLS and CN2, showing that a significant synergy can be obtained by combining multiple empirical methods.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Hydrobiologia 369-370 (1998), S. 297-313 
    ISSN: 1573-5117
    Keywords: planktonic phytoflagellates ; taxonomy ; seasonality ; hypertrophic brackish water ; tropical coastal lagoon ; Brazil
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The phototrophic flagellate flora of the Barra Lagoon (22°57′ S and 42°47′ W), Rio de Janeiro State, southeastern Brazil, is described. The lagoon is a shallow, oligohaline, hypertrophic ecosystem in which Cyanophyceae, Chlorophyceae and phytoflagellates are dominant. Between October 1990 and August 1993, weekly integrated samples were collected from a bay, using a plexiglass tube, 8 cm diameter and 1m length. All identifications, descriptions and measurements were carried out on live or in Lugol-fixed material. A total of 30 taxa, belonging to Euglenophyceae (5), Cryptophyceae (7), Raphidophyceae (1), Dinophyceae (4), Chrysophyceae (3), Prymnesiophyceae (2), Prasinophyceae (7) and Chlorophyceae (1) were identified. All the phytoflagellate species identified have been recorded previously from temperate sites. Nine of them were registered in a tropical water for the first time, suggesting that they have much broader distributions. Gymnodinium sanguineum, Pavlova lutheri and Pyramimonas grossii were the most frequently observed phytoflagellates in this study. The seasonal occurrence and some environmental requirements of selected phytoflagellates species are discussed.
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  • 4
    ISSN: 1573-5117
    Keywords: blue-greens (Cyanoprokaryotes) ; assemblages ; productive lakes ; Brazil
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Cyanoprokaryote assemblages of eight very productive Brazilian lakes are described and the main driving forces of their dominance are considered. Relative abundance of blue-greens is shown to have been positively related to temperature, but not to pH or total-P and to have been negatively associated with light, mixing, NO3, but not with NH4, total N or total N/total P ratio. Both heterocytic and non-heterocytic groups were negatively related to NO3. However, if Cylindrospermopsis species are considered as non-N2-fixing organisms (only 10% of the filaments carried heterocytes), the lakes could be considered as dominated by non-N2-fixing populations during most of the years. In this new scenario, non-N2-fixing were dominant in NO3 (but not NH4) deficient lakes, and in both NO3 and NH4 deficient conditions. Assemblages S, S n , H, M, X 1, as groups of descriptor species of systems having similar features as proposed by Reynolds (1997: Ecology Institute, Oldenburg), were representative of warm, shallow, turbid, enriched and frequently mixed lakes. We propose to move some species from Z (picoplancton of oligotrophic lakes) to X 1 assemblage (nanoplankton of eutrophic lakes) and we comment on Microcystis species of M assemblage from mixed shallow lakes in relation to L m assemblage of end-summer in temperate lakes. S and S n assemblages, which comprise species which are good-light antennae, were the best represented group in these generally turbid and shallow lakes.
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  • 5
    ISSN: 1572-9613
    Keywords: Coulomb interaction symmetries ; Mayer series ; two-dimensional dipole gas
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract We study the Mayer series of the two-dimensional dipole gas in the high-temperature, low-density regime. Without performing any multiscale analysis, we obtain bounds showing that the Mayer coefficients are finite in the thermodynamic limit. These bounds are obtained by exploiting a particular partial symmetry of the interaction (which we nameO-symmetry), already used in some problems related to the two-dimensional Coulomb gas. By direct bounds on some Mayer graphs we also conjecture that any technique based uniquely on theO-symmetry will not be sufficient to prove analyticity of the series.
    Type of Medium: Electronic Resource
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