When coming up with a business idea what should we be thinking about? In this presentation I highlight four elements which create the Entrepreneurial sweet spot. Making you ready for our Entrepreneurship degree: http://www.worcester.ac.uk/courses/entrepreneurship-ba-hons.html
Um condomínio único de Alto Padrão no Recreio com casas duplex de 4 quartos com 2 ou 3 suítes, plantas de 153m². Todas as unidades serão entregues com piscina e churrasqueira. Segurança total. Previsão de entrega: Agosto de 2013. Referência: RE029. Ligue e agende sua visita. Acesse webrioimoveis. Skype doramellocorretora Corretora Dora Mello (21) 7883-4126 / Id 12*87143 / 3647-1625
When coming up with a business idea what should we be thinking about? In this presentation I highlight four elements which create the Entrepreneurial sweet spot. Making you ready for our Entrepreneurship degree: http://www.worcester.ac.uk/courses/entrepreneurship-ba-hons.html
Um condomínio único de Alto Padrão no Recreio com casas duplex de 4 quartos com 2 ou 3 suítes, plantas de 153m². Todas as unidades serão entregues com piscina e churrasqueira. Segurança total. Previsão de entrega: Agosto de 2013. Referência: RE029. Ligue e agende sua visita. Acesse webrioimoveis. Skype doramellocorretora Corretora Dora Mello (21) 7883-4126 / Id 12*87143 / 3647-1625
ADAPTING METRICS FOR MUSIC SIMILARITY USING COMPARATIVE RATINGS Daniel Wolff
This poster presents a machine learning approach for analysing
user data that specifies song similarity. Understanding how
we relate and compare music has been a topic of great
interest in musicology as well as for business applications, such
as music recommender systems. The way music is compared
seems to vary between different cultures. Adapting a generic
model to user ratings is useful for personalisationand can help
to better understand such differences. • 5-fold cross validation with test-sets of ~106 binary
rankings, evaluate fulfilled rankings
Test Set:
MLR: 82%
mlrDiag:71%
•TagATunegamers have to
agreeon the “outlier”clip out of 3
•Data for 533 clip triplets
Avg. 14 votes per triplet
1019 clips included
JnNURM Bus Financing - Delhi ExperienceJaspal Singh
This presentation describes the scheme of Bus Financing launched by Ministry of Urban Development and share the experience of Delhi.
A deep insight into the requirement of JnNURM funding requirement.
ADAPTING METRICS FOR MUSIC SIMILARITY USING COMPARATIVE RATINGS Daniel Wolff
This poster presents a machine learning approach for analysing
user data that specifies song similarity. Understanding how
we relate and compare music has been a topic of great
interest in musicology as well as for business applications, such
as music recommender systems. The way music is compared
seems to vary between different cultures. Adapting a generic
model to user ratings is useful for personalisationand can help
to better understand such differences. • 5-fold cross validation with test-sets of ~106 binary
rankings, evaluate fulfilled rankings
Test Set:
MLR: 82%
mlrDiag:71%
•TagATunegamers have to
agreeon the “outlier”clip out of 3
•Data for 533 clip triplets
Avg. 14 votes per triplet
1019 clips included
JnNURM Bus Financing - Delhi ExperienceJaspal Singh
This presentation describes the scheme of Bus Financing launched by Ministry of Urban Development and share the experience of Delhi.
A deep insight into the requirement of JnNURM funding requirement.
