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DTSTART:20041031T060000
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DTSTART:20051030T060000
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UID:698a311985f39
DTSTART;TZID=America/Toronto:20050212T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20050212T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-se
 ntiment-classification-approach-using-stacked
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: A sentiment classification approach using stacked\nsupe
 rvised learning incorporating web mined features
CLASS:PUBLIC
DESCRIPTION:Speaker: Rejean Lau (University of Alberta)\n\nSentiment classi
 fication is a form of the text categorization problem\nwhere user sentimen
 t is categorized as either positive or negative\nsentiment. It is generall
 y accepted that sentiment analysis is a more\nchallenging classification p
 roblem then topic categorization and here\nthe bag of words approach does 
 not perform as well. Using the IMDB\nsentiment dataset from Cornell Univer
 sity\, we improve on their results\nby using a stacked classifier and web-
 mined features.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a311987cbc
DTSTART;TZID=America/Toronto:20051209T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051209T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-sp
 ecialized-multi-agents-learning-system
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Specialized multi-agents learning system
CLASS:PUBLIC
DESCRIPTION:Speaker: Nasser Mooman\n\nWith the increasing amount of availab
 le information sources for\nlearners\, the need for systems that can effec
 tively and efficiently\nmine\, retrieve\, and process such information has
  become critical.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a311988cc1
DTSTART;TZID=America/Toronto:20051130T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051130T120000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-co
 nvex-hidden-markov-models
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Convex hidden Markov models
CLASS:PUBLIC
DESCRIPTION:Speaker: Linli Xu\n\nIn this talk\, I will discuss a new unsupe
 rvised algorithm for training\nhidden Markov models that is convex and avo
 ids the use of EM.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a311989e9b
DTSTART;TZID=America/Toronto:20051125T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051125T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-la
 go-svm-and-rare-target-detection
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: LAGO\, SVM and rare target detection
CLASS:PUBLIC
DESCRIPTION:Speaker: Mu Zhu (Statistics and Actuarial Sciences\, University
  of\nWaterloo)\n\nI shall describe a few projects in the area of rare targ
 et detection.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a31198b09b
DTSTART;TZID=America/Toronto:20051118T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051118T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-de
 aling-word-sense-disambiguation-lexical
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Dealing with word sense disambiguation in lexical chain
 ing
CLASS:PUBLIC
DESCRIPTION:Speaker: Mattt Enss\n\nA lexical chain is a sequence of words i
 n a document that are\nsemantically related (i.e.\, related in meaning). L
 exical chains\nindicate where certain topics or subjects are being discuss
 ed in a\ndocument. The chains therefore can provide context and be used to
 \ndetermine where topic changes occur.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a31198c05d
DTSTART;TZID=America/Toronto:20051111T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051111T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-be
 yond-integer-domains-all-different-and-global
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Beyond integer domains: The all different and global\nc
 ardinality constraints
CLASS:PUBLIC
DESCRIPTION:Speaker: Claude-Guy Quimper\n\nAfter giving a brief summary of 
 general principles in constraint\nprogramming\, we will present two constr
 aints: the all different\nconstraint and the global cardinality constraint
 .
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a31198cefb
DTSTART;TZID=America/Toronto:20051104T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051104T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-st
 ructuring-interactive-cluster-analysis
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Structuring interactive cluster analysis
CLASS:PUBLIC
DESCRIPTION:Speaker: Wayne Oldford (Dir. of Computational Math\, UW)\n\nThe
  problem of cluster analysis\, or finding groups in data\, is\ninherently 
 ill-posed\; hence the multitude of different methods which\npurport to sol
 ve \"the'' problem. In this talk\, a variety of examples\nillustrate this 
 point and cast doubt on whether a single universally\nuseful clustering me
 thod exists.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a31198ddfa
DTSTART;TZID=America/Toronto:20051028T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051028T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-wh
 os-asking-help-bayesian-approach-intelligent
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Who's asking for help? A Bayesian approach to intellige
 nt\nassistance
CLASS:PUBLIC
DESCRIPTION:Speaker: Bowen Hui (University of Toronto)\n\nAutomated softwar
 e customization is drawing increasing attention as a\nmeans to help users 
 deal with the scope\, complexity\, potential\nintrusiveness\, and ever-cha
 nging nature of modern software. The\nability to automatically customize f
 unctionality\, interfaces\, and\nadvice to specific users is made more dif
 ficult by the uncertainty\nabout the needs of specific individuals and the
 ir preferences for\ninteraction.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a31198ebff
DTSTART;TZID=America/Toronto:20051021T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051021T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-wh
 y-bother-about-bother-it-worth-it-ask-user
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Why bother about bother: Is it worth it to ask the user
 ?
CLASS:PUBLIC
DESCRIPTION:Speaker: Robin Cohen\n\nIn this paper\, we discuss the importan
 ce of modeling the potential\nbother to the user\, when reasoning about in
 teraction in a\nmixed-initiative setting. We summarize our previous work o
 n modeling\nbother as one of the costs of interaction\, clarifying how to\
 nincorporate this estimated cost when reasoning about whether to\ninitiate
  interaction.
DTSTAMP:20260209T191017Z
END:VEVENT
BEGIN:VEVENT
UID:698a31198f51a
DTSTART;TZID=America/Toronto:20051014T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20051014T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-on
 tologies-mature-research-tools
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Ontologies: Mature research tools?
CLASS:PUBLIC
DESCRIPTION:Speaker: Rob Warren\n\nOntology research has had a renewed inte
 rest with the release of two\nontological markup standards\, DAML+OIL and 
 OWL\, in December of 2001\nand March of 2002.\n\nIn this talk I'll review 
 some of the work I did while at the Fungal\nWeb Project in Montreal\, wher
 e we faced several questions about the\nuse and adoption of ontologies and
  their markup languages:
DTSTAMP:20260209T191017Z
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