Turney, P. (1997). How to Shift Bias: Lessons from the Baldwin Effect. Evolutionary Computation, 4(3):271--295.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....the chromosome is based on the accuracy of the evolved subset of features to predict class values for unseen cases. Different fitness functions for this task have been studied. In Bala et al. Bala et al. 1995] Bala et al. 1996] Vafaie et al. Vafaie and Jong, 1994] Vafaie and Imam, 1994] and Turney [Turney, 1997] a decision tree generator is used, in [Guerra Salcedo and Whitley, 1998] a variant of a decision table is used and in [Punch et al. 1993] the authors used a modified version of K nearest neighbor. In every case the fitness function is an inducer that classifies cases according to the features ....

Turney, P. (1997). How to Shift Bias: Lessons from the Baldwin Effect. Evolutionary Computation, 4(3):271--295.

....list contains the references to every journal article included in this bibliography. The list is arranged in alphabetical order by the name of the journal. Archives of Control Sciences, 245] Artificial Intelligence, 311] Complex Systems, 358] DIMACS, 155] Evolutionary Computation, [66, 67, 73, 78, 89, 92, 367] Fuzzy Systems Artificial Intelligence Reports and Letters, 135] IEE Proceedings C: Generation, Transmission and Distribution, 109] IEE Proceedings, Vision, Image, Signal Processing, 47] IEEE Transactions on Power Systems, 21] International Journal of Approximative Reasoning, 155] ....

....Kurt, 100] Thiele, Lothar, 110, 149, 178] Thornton, Chris, 123] Tilley, Derek G. 153] Tirri, Henry, 224] Toivanen, Jari, 174, 228] Tommiska, Matti, 232] Tormanen, Pasi, 233, 278, 290] Treptow, J. 306] Tsunashima, N. 29, 58] Turhan, M. 88] Turner, Alasdair, 22] Turney, P. [89, 92] Turunen, Pekka, 244, 280] Tuson, Andrew, 95] Tyni, Tapio, 140, 283] Uchikawa, Yoshiki, 33] Undrill, Peter E. 47] Usami, K. 23] Vafaie, H. 66] Valisuo, Petri, 289] Valtonen, Martti, 51] van Kemenade, Cees H. M. 34, 194, 196, 268] Venkataraman, Sridhar, 84] Verdegay, Jose ....

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P. Turney. How to shift bias: Lessons from the Baldwin effect. Evolutionary Computation, 4(3):?, 1997. (Journal: URL: http://www-mitpress.mit.edu/jrnls-catalog/evolution.html) y(toc) Key: ga97bTurney.

....of features that is presented to the inducer. The fitness of the chromosome is based on the accuracy of the evolved subset of features to predict class values for unseen cases. Different fitness functions for this task have been studied. In Bala et al. 3] 4] Vafaie et al. 26] 25] and Turney [24] a decision tree generator is used, in [12] a variant of a decision table is used and in [19] the authors used a modified version of K nearest neighbor. In every case the fitness function is an inducer that classifies cases according to the features presented in a particular chromosome. 2.1 ....

Peter Turney. How to Shift Bias: Lessons from the Baldwin Effect. Evolutionary Computation, 4(3):271--295, 1997.

....improvements do not change the genetic encoding of the individual. Rather, genetic changes are affected indirectly via selection due to the enhanced fitness feedback provided by learning. Computationally, the genotype can be viewed as establishing a context or bias in which learning takes place (Turney, 1996). Evolution of the genotype corresponds to a bias shift due to previous learning, resulting in new contexts which facilitate future learning. Hinton and Nowlan (1987) were among the first to consider computational ways in which evolution of strings and the learning of individuals might interact. ....

Turney, P. (1996). How to Shift Bias: Lessons from the Baldwin Effect, Evolutionary Computation (to appear).

....can be viewed in this framework (Caruana Freitag, 1994; Kohavi John, 1997) All of the above mentioned approaches may be viewed as a particular type of bias shift operator (Utgoff, 1986; desJardins Gordon, 1995) focussing on shifts to computationally more expensive inductive biases. Turney (1996) investigates this in more detail, but suggests that in order to maximize accuracy one should start with a weak bias and gradually shift to stronger biases. Our results suggest the opposite strategy if efficiency is the main concern. This is consistent with results in comparing forward and ....

Turney, P. (1996). How to shift bias: Lessons from the Baldwin effect. Evolutionary Computation, 4 (3), 271--295.

.... these forces by proposing that increasing evolutionary versatility adds more dimensions, which are then integrated by adaptive covariation, so that new dimensions are added and integrated in an ongoing cycle [21, 37] Evolutionary versatility also appears to be related to the Baldwin effect [3, 18, 31]. The Baldwin effect is based on phenotypic plasticity, the ability of an organism (the phenotype) to adapt to its local environment, during its lifetime. Examples of phenotypic plasticity include the ability of humans to tan on exposure to sunlight and the ability of many animals to learn from ....

Turney, P.D. (1996). How to shift bias: Lessons from the Baldwin effect. Evolutionary Computation, 4, 271-295.

.... these forces by proposing that increasing evolutionary versatility adds more dimensions, which are then integrated by adaptive covariation, so that new dimensions are added and integrated in an ongoing cycle [21, 37] Evolutionary versatility also appears to be related to the Baldwin effect [3, 18, 31]. The Baldwin effect is based on phenotypic plasticity, the ability of an organism (the phenotype) to adapt to its local environment, during its lifetime. Examples of phenotypic plasticity include the ability of humans to tan on exposure to sunlight and the ability of many animals to learn from ....

Turney, P.D. (1996). How to shift bias: Lessons from the Baldwin effect. Evolutionary Computation, 4, 271-295.

....mechanisms by which evolvability may increase in biology and in evolutionary computation. These mechanisms include kaleidoscopic development (Dawkins, 1989, 1996) modularity (Altenberg, 1994; Wagner and Altenberg, 1996; Simon, 1962; Turney, 1989) and the Baldwin effect (Hinton and Nowlan, 1987; Turney, 1996). Finally, we discuss some of the testable (in principle) predictions of the claim that there is a large scale trend towards increasing evolvability. The claim that evolvability is increasing implies that we should see an accelerating rate of evolution. We believe that analysis of biological and ....

....the mechanisms for evolvability that have been discussed in the literature are consistent with this abstract model. Kaleidoscopic development (Dawkins, 1989, 1996) modularity (Altenberg, 1994; Wagner and Altenberg, 1996; Simon, 1962; Turney, 1989) and the Baldwin effect (Hinton and Nowlan, 1987; Turney, 1996) can all be viewed as mechanisms that enable a certain aspect of the phenotype to change by genetic mutation, where such mutation would be detrimental without these mechanisms. In effect, without evolvability, certain mutations are forbidden; certain evolutionary paths are closed. We model this ....

Turney, P.D. (1996). How to shift bias: Lessons from the Baldwin effect. Evolutionary Computation, 4, 271-295.

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