Results 1 - 10 of 149

Table 2: Sample Runs on TOM

in Mutation-Crossover Isomorphisms and the Construction of Discriminating Functions
by Joseph C. Culberson 1995
"... In PAGE 32: ... When the programs succeed in all instances of a particular test, we include the average number of evaluations to rst nd the optimal value, and the standard deviation. Table2 shows how a TGA (GENESIS) and GIGA did on TOM us- ing strings of 100 bits. As expected, assuming that a mutation SSS with many false peaks thwarts TGAs, GENESIS found TOM fairly di cult.... ..."
Cited by 30

Table 1 Some signatures from Tom Sawyer.

in Unsupervised Learning of the Morphology of a Natural Language
by John Goldsmith 2001
Cited by 136

Table 3 Suffixes from Tom Sawyer.

in Unsupervised Learning of the Morphology of a Natural Language
by John Goldsmith 2001
Cited by 136

Table 3 Suffixes from Tom Sawyer

in Unsupervised Learning of the Morphology of a Natural Language
by John Goldsmith 2000
"... In PAGE 74: ...74 Table 1: Top 10 signatures, English (in text) Table 2: Top 81 signatures, Tom Sawyer Table3 : Suffixes from Tom Sawyer Table 4: Top 10 Signatures, English 500,000 word corpus Table 5: Top 10 signatures, French 350,000 words corpus Table 6: Top 10 signatures, Spanish (Don Quijote) 130,000 word corpus Table 7: Top 10 signatures, Latin 125,000 word corpus Table 8: Top signatures, Italian 100,000 word corpus Table 9: Top signatures, Italian 1,000,000 word corpus Table 10: Results, English Table 9: Results, French ... ..."

Table 4.2: Tom Mitchell (CMU)

in Entity Identification on the Web
by Prof Sunita Sarawagi, Charu Tiwari, Prof Sunita Sarawagi, Prof Umesh Bellure, Prof Krithi Ramamritham

Table 2: Identification matrix for Tom Tit Tot .

in Contents
by Aitor Azcarate, Joeri Honnef, Jelle Kastelein, Abdullah Özsoy, Liang Wang, Klara Weiand

Table 1 Age, Language Development and ToM Development Age Language development ToM development

in Joint Attention and Language Evolution
by Johan Kwisthout, Paul Vogt, Pim Haselager, Ton Dijkstra
"... In PAGE 8: ... Using tests like the Intentionality Detector or the Eye Direction Detector, to evaluate various aspects of joint attention, it has been shown that infants acquire joint attention skills at approximately the same age they start to learn their first words (Baron-Cohen, 1995). They know hundreds of words at 24 months of age, long before the False Belief Test or Opaque Context Test indicate the existence of a workable ToM, as shown in Table1 , which is adapted from Reboul (2003). As Reboul concluded from these data, a child needs some sort of joint attention skills in order to acquire a vocabulary, but from this base ToM and language acquisition develop in parallel rather then serially.... ..."

Table 1 Age, Language Development and ToM Development Age Language development ToM development

in Joint Attention and Language Evolution
by Johan Kwisthout, Paul Vogt, Pim Haselager, Ton Dijkstra
"... In PAGE 8: ... Using tests like the Intentionality Detector or the Eye Direction Detector, to evaluate various aspects of joint attention, it has been shown that infants acquire joint attention skills at approximately the same age they start to learn their first words (Baron-Cohen, 1995). They know hundreds of words at 24 months of age, long before the False Belief Test or Opaque Context Test indicate the existence of a workable ToM, as shown in Table1 , which is adapted from Reboul (2003). As Reboul concluded from these data, a child needs some sort of joint attention skills in order to acquire a vocabulary, but from this base ToM and language acquisition develop in parallel rather then serially.... ..."

Table 2 Top 81 signatures from Tom Sawyer.

in Unsupervised Learning of the Morphology of a Natural Language
by John Goldsmith 2001
Cited by 136

Table 4 Comparisons of Energy Consumption between TOM and TrainSim Distance TOM Estimate TrainSim Estimate Difference

in Center Sinotech Engineering Consultants, Inc. Sinotech Engineering Consultants, Inc.
by En-fu Chang
"... In PAGE 12: ... 5.2 Comparisons of Results Table4 shows the energy consumption estimated from TOM and TrainSim for each section, as well as the difference between them. It is found that the results are quite close.... ..."
Results 1 - 10 of 149