Niyogi, P. (1999) The Informational Complexity of Learning from Examples, Kluwer, Drodrecht. Home/Search Document Details and Download
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An Evolutionary Approach to (logistic-Like) Language Change - Briscoe (Correct)
....of linguistic homogeneity. When a (fair) trigger sample is drawn from a single source grammar, then LA should acquire that grammar, or one representing the same SF LF mapping, with very high probability. In this special case, the framework is very close to the standard learnability framework (e.g. Niyogi, 1999). In the case where the sample is from mixed sources, if triggers represent parametrically di erent ways of realising the same LF then the parameters expressed by the more frequent trigger will be acquired provided the alternative is K times less probable. Data selectivity incorporates ....
Niyogi, P. (1999) The Informational Complexity of Learning from Examples, Kluwer, Drodrecht.
Evolutionary Perspectives on Diachronic Syntax - Briscoe (Correct)
....yields the left branching derivation and interpretation where the second adverb has wide scope. Such complications are not relevant here. 5 This formal setting and associated assumptions concerning models of language acquisition is based on recent work on formal learnability see, for example, Niyogi (1996) for a particular thorough treatment though its antecedents go back at least to Wexler and Culicover (1980) The assumption that the learner has access to a fair and effective sample circumvents most of the substantive issues of language acquisition. However, our focus here is not on these ....
Niyogi, P. (1996) The Informational Complexity of Learning from Examples, MIT AI Lab TR-1587.
Epsilon Focusing---A Strategy for Active Example Selection - Partha Niyogi Lucent Self-citation (Niyogi) (Correct)
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Niyogi P., The Informational Complexity of Learning from Examples. Ph.D. Thesis, Massachusetts Institute of Technology. Cambridge, MA, USA. 1995.
Epsilon Focusing---A Strategy For Active Example Selection - Partha Niyogi Artificial Self-citation (Niyogi) (Correct)
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P. Niyogi. The Informational Complexity of Learning from Examples. Ph.D. Thesis, Massachusetts Institute of Technology. 1995.
On the Relationship Between Generalization Error, Hypothesis.. - Niyogi, Girosi (1996) (9 citations) Self-citation (Niyogi) (Correct)
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P. Niyogi. The informational complexity of learning from examples. PhD thesis, MIT, February 1995.
The Logical Problem of Language Change - Niyogi (1995) (4 citations) Self-citation (Niyogi) (Correct)
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P. Niyogi. The Informational Complexity of Learning From Examples. PhD thesis, Massachussetts Institute of Technology, Cambridge, MA, 1994.
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